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MedGemma-AI-Powered-Hospital-Readmission-Risk-Predictor

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Jr SoulWolf commited on Jul 19, 2025

Commit

83339a4

1 Parent(s): e629a07

fix: Correct syntax error in ReportCard component

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Files changed (24) hide show

backend/app.py +77 -52
frontend/dist/assets/index-1c526412.js +0 -0
frontend/dist/assets/index-5271bae6.css +0 -1
frontend/dist/index.html +0 -15
frontend/index.html +1 -2
frontend/package-lock.json +600 -113
frontend/package.json +13 -10
frontend/src/App.tsx +65 -128
frontend/src/api/aiApi.ts +20 -0
frontend/src/components/Disclaimer.tsx +24 -0
frontend/src/components/Header.tsx +16 -0
frontend/src/components/InputPanel.tsx +59 -0
frontend/src/components/ReportCard.tsx +114 -0
frontend/src/components/ResultsPanel.tsx +70 -0
frontend/src/components/Spinner.tsx +10 -0
frontend/src/constants.ts +34 -0
frontend/src/hooks/usePatientAnalysis.ts +96 -0
frontend/src/index.css +24 -0
frontend/src/main.tsx +1 -1
frontend/src/types.ts +42 -0
frontend/src/validation/schemas.ts +23 -0
frontend/tsconfig.json +21 -0
frontend/tsconfig.node.json +11 -0
frontend/vite.config.ts +8 -7

backend/app.py CHANGED Viewed

@@ -2,87 +2,112 @@ import os
 import json
 from fastapi import FastAPI, HTTPException
 from fastapi.staticfiles import StaticFiles
-from pydantic import BaseModel
-import google.generativeai as genai
-from dotenv import load_dotenv
-# Load environment variables
-load_dotenv()
-API_KEY = os.getenv("GEMINI_API_KEY")
-# Configure the API key if it exists
-if API_KEY:
-    genai.configure(api_key=API_KEY)
-app = FastAPI()
-# Define patient data model
 class Patient(BaseModel):
     patient_id: str
     age: int
     gender: str
-    location: str
-    diagnosis: str
     comorbidities: str
-    medications: str
-    stay_days: int
-    readmitted: bool
-# Define analysis request model
 class AnalysisRequest(BaseModel):
-    patients: list[Patient]
-# Analyze patients endpoint
-@app.post("/api/analyze")
 async def analyze_patients(request: AnalysisRequest):
     if not API_KEY:
-        raise HTTPException(status_code=500, detail="GEMINI_API_KEY is not configured in Space secrets.")
     analyses = []
     model = genai.GenerativeModel('gemini-1.5-flash')
     for patient in request.patients:
         prompt = f"""
-        Analyze the following patient data for hospital readmission risk and return the result in a single, valid JSON object format. Do not include any text or formatting outside of the JSON object itself.
-        The JSON object must have these exact keys: "patient_id", "risk_label", "risk_score", "contributing_factors", and "recommendations".
-        - risk_label must be one of: "HIGH RISK", "MEDIUM RISK", "LOW RISK".
-        - risk_score must be a number (float or int) between 0 and 100.
-        - contributing_factors must be a list of strings.
-        - recommendations must be a list of strings.
         Patient data:
         - Patient ID: {patient.patient_id}
         - Age: {patient.age}
         - Gender: {patient.gender}
-        - Diagnosis: {patient.diagnosis}
         - Comorbidities: {patient.comorbidities}
-        - Medications: {patient.medications}
-        - Length of Stay: {patient.stay_days} days
         """
         try:
             response = model.generate_content(prompt)
-            # Clean the response to ensure it's valid JSON
             cleaned_text = response.text.strip().replace("```json", "").replace("```", "")
-            analysis = json.loads(cleaned_text)
-            analyses.append(analysis)
         except (json.JSONDecodeError, Exception) as e:
             print(f"Error processing patient {patient.patient_id}: {e}")
-            # Use response.text if it's available, otherwise provide a generic error
-            raw_response = "N/A"
-            if 'response' in locals() and hasattr(response, 'text'):
-                raw_response = response.text
-            print(f"Gemini raw response was: {raw_response}")
-            analyses.append({
-                "patient_id": patient.patient_id,
-                "risk_label": "ERROR",
-                "risk_score": 0,
-                "contributing_factors": [f"Analysis failed. See logs for details."],
-                "recommendations": ["Check the raw Gemini response in the application logs."]
-            })
     return analyses
-# Health check endpoint
-@app.get("/api/health")
-async def health_check():
-    return {"status": "healthy"}
-# Serve the built frontend from the 'frontend/dist' directory
 app.mount("/", StaticFiles(directory="frontend/dist", html=True), name="static")

 import json
 from fastapi import FastAPI, HTTPException
 from fastapi.staticfiles import StaticFiles
+from pydantic import BaseModel, Field
+from typing import List, Optional, Literal
+# --- Pydantic Models (matching frontend types.ts) ---
 class Patient(BaseModel):
     patient_id: str
     age: int
     gender: str
+    hospital: str
+    primary_diagnosis: str
     comorbidities: str
+    medications_at_discharge: str
+    length_of_stay_days: int
+    readmitted_within_30_days: Optional[bool] = None
+class Analysis(BaseModel):
+    patient_id: str
+    risk_level: Literal["Low", "Medium", "High"]
+    confidence_score: float = Field(..., ge=0, le=1)
+    contributing_factors: List[str]
+    preventive_recommendations: List[str]
+class BackendAnalysisSuccess(BaseModel):
+    status: Literal['success']
+    patient_id: str
+    analysis: Analysis
+class BackendAnalysisError(BaseModel):
+    status: Literal['error']
+    patient_id: str
+    error: str
 class AnalysisRequest(BaseModel):
+    patients: List[Patient]
+# --- AI Configuration ---
+load_dotenv()
+API_KEY = os.getenv("GEMINI_API_KEY")
+if API_KEY:
+    genai.configure(api_key=API_KEY)
+app = FastAPI()
+# --- API Endpoints ---
+@app.post("/api/analyze", response_model=List[dict])
 async def analyze_patients(request: AnalysisRequest):
     if not API_KEY:
+        # Return a structured error for each patient if the API key is missing
+        return [
+            BackendAnalysisError(
+                status='error',
+                patient_id=p.patient_id,
+                error="GEMINI_API_KEY is not configured in Space secrets."
+            ).dict() for p in request.patients
+        ]
     analyses = []
     model = genai.GenerativeModel('gemini-1.5-flash')
     for patient in request.patients:
         prompt = f"""
+        Analyze the following patient data for 30-day hospital readmission risk.
+        Return the result as a single, valid JSON object with NO additional text or markdown formatting.
+        The JSON object must have these exact keys: "patient_id", "risk_level", "confidence_score", "contributing_factors", and "preventive_recommendations".
+        - "risk_level" must be one of: "Low", "Medium", "High".
+        - "confidence_score" must be a number between 0.0 and 1.0.
+        - "contributing_factors" must be a list of 3 short, precise strings.
+        - "preventive_recommendations" must be a list of 3 actionable, short strings.
         Patient data:
         - Patient ID: {patient.patient_id}
         - Age: {patient.age}
         - Gender: {patient.gender}
+        - Diagnosis: {patient.primary_diagnosis}
         - Comorbidities: {patient.comorbidities}
+        - Medications: {patient.medications_at_discharge}
+        - Length of Stay: {patient.length_of_stay_days} days
         """
         try:
             response = model.generate_content(prompt)
             cleaned_text = response.text.strip().replace("```json", "").replace("```", "")
+            analysis_data = json.loads(cleaned_text)
+            # Validate the data with our Pydantic model
+            validated_analysis = Analysis(**analysis_data)
+            success_response = BackendAnalysisSuccess(
+                status='success',
+                patient_id=patient.patient_id,
+                analysis=validated_analysis
+            )
+            analyses.append(success_response.dict())
         except (json.JSONDecodeError, Exception) as e:
             print(f"Error processing patient {patient.patient_id}: {e}")
+            error_response = BackendAnalysisError(
+                status='error',
+                patient_id=patient.patient_id,
+                error=f"AI model returned an invalid format or failed. Details: {str(e)}"
+            )
+            analyses.append(error_response.dict())
     return analyses
+# Serve the built frontend
 app.mount("/", StaticFiles(directory="frontend/dist", html=True), name="static")

frontend/dist/assets/index-1c526412.js DELETED Viewed

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frontend/dist/assets/index-5271bae6.css DELETED Viewed

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frontend/dist/index.html DELETED Viewed

@@ -1,15 +0,0 @@
-<!doctype html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Prevently.ai</title>
-    <script type="module" crossorigin src="/assets/index-1c526412.js"></script>
-    <link rel="stylesheet" href="/assets/index-5271bae6.css">
-  </head>
-  <body>
-    <div id="root"></div>
-  </body>
-</html>

frontend/index.html CHANGED Viewed

@@ -2,9 +2,8 @@
 <html lang="en">
   <head>
     <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Prevently.ai</title>
   </head>
   <body>
     <div id="root"></div>

 <html lang="en">
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Prevently.ai - Readmission Risk Predictor</title>
   </head>
   <body>
     <div id="root"></div>

frontend/package-lock.json CHANGED Viewed

@@ -8,25 +8,29 @@
       "name": "prevently-frontend",
       "version": "1.0.0",
       "dependencies": {
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@@ -349,9 +370,9 @@
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@@ -366,9 +387,9 @@
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@@ -383,9 +404,9 @@
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       "cpu": [
         "arm64"
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@@ -400,9 +421,9 @@
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+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
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   }
 }

frontend/package.json CHANGED Viewed

@@ -3,10 +3,11 @@
   "version": "1.0.0",
   "private": true,
   "dependencies": {
-    "react": "^18.2.0",
-    "react-dom": "^18.2.0",
-    "axios": "^1.6.0",
-    "tailwindcss": "^3.3.5"
   },
   "scripts": {
     "dev": "vite",
@@ -14,12 +15,14 @@
     "preview": "vite preview"
   },
   "devDependencies": {
-    "@types/react": "^18.2.0",
-    "@types/react-dom": "^18.2.0",
-    "@vitejs/plugin-react": "^4.0.0",
-    "typescript": "^5.0.0",
-    "vite": "^4.3.0",
     "autoprefixer": "^10.4.19",
-    "postcss": "^8.4.38"
   }
 }

   "version": "1.0.0",
   "private": true,
   "dependencies": {
+    "papaparse": "^5.4.1",
+    "react": "^18.3.1",
+    "react-dom": "^18.3.1",
+    "zod": "^3.23.8",
+    "axios": "^1.7.2"
   },
   "scripts": {
     "dev": "vite",
     "preview": "vite preview"
   },
   "devDependencies": {
+    "@types/papaparse": "^5.3.14",
+    "@types/react": "^18.3.3",
+    "@types/react-dom": "^18.3.0",
     "autoprefixer": "^10.4.19",
+    "postcss": "^8.4.38",
+    "tailwindcss": "^3.4.4",
+    "typescript": "^5.4.5",
+    "vite": "^5.3.1",
+    "@vitejs/plugin-react": "^4.3.1"
   }
 }

frontend/src/App.tsx CHANGED Viewed

@@ -1,142 +1,79 @@
-import React, { useState, useEffect } from 'react';
-import axios from 'axios';
-interface Patient {
-  patient_id: string;
-  age: number;
-  gender: string;
-  location: string;
-  diagnosis: string;
-  comorbidities: string;
-  medications: string;
-  stay_days: number;
-  readmitted: boolean;
-}
-interface Analysis {
-  patient_id: string;
-  risk_label: string;
-  risk_score: number;
-  contributing_factors: string[];
-  recommendations: string[];
-}
 const App: React.FC = () => {
-  const [patients, setPatients] = useState<Patient[]>([]);
-  const [analyses, setAnalyses] = useState<Analysis[]>([]);
-  const [loading, setLoading] = useState(false);
-  const [error, setError] = useState<string | null>(null);
   useEffect(() => {
-    // Load sample patient data
-    setPatients([
-      { patient_id: "P016", age: 29, gender: "Male", location: "Mayo Clinic, Rochester", diagnosis: "Uncomplicated Appendectomy", comorbidities: "None", medications: "None", stay_days: 2, readmitted: false },
-      { patient_id: "P017", age: 48, gender: "Female", location: "Mayo Clinic, Rochester", diagnosis: "Post-surgical Infection", comorbidities: "Non-adherence to post-op instructions", medications: "None", stay_days: 5, readmitted: true },
-      { patient_id: "P015", age: 86, gender: "Male", location: "Mayo Clinic, Rochester", diagnosis: "Fall with hip fracture", comorbidities: "None", medications: "None", stay_days: 10, readmitted: true },
-      { patient_id: "P010", age: 56, gender: "Female", location: "Mayo Clinic, Rochester", diagnosis: "Hip Replacement", comorbidities: "Multiple comorbidities (2)", medications: "None", stay_days: 7, readmitted: false },
-    ]);
   }, []);
-  const analyzePatients = async () => {
-    setLoading(true);
-    setError(null);
-    try {
-      const response = await axios.post('/api/analyze', { patients });
-      setAnalyses(response.data);
-    } catch (err) {
-        if (axios.isAxiosError(err) && err.response) {
-            setError(`Analysis failed: ${err.response.data.detail || 'An unknown error occurred.'}`);
-        } else {
-            setError('An unexpected error occurred. Please check the network connection.');
-        }
-      console.error('Error analyzing patients:', err);
-    } finally {
-      setLoading(false);
-    }
   };
   return (
-    <div className="min-h-screen bg-gradient-to-br from-blue-900 to-black text-white p-6 font-sans">
-      <header>
-        <h1 className="text-4xl font-bold">Prevently.ai</h1>
-        <p className="text-lg text-blue-300">AI-Powered Hospital Readmission Risk Predictor</p>
-      </header>
-      <div className="mt-4 p-4 border border-blue-500 rounded flex items-center bg-blue-900 bg-opacity-30">
-        <span className="text-xl mr-3">ⓘ</span>
-        <p className="text-sm">
-          This application is for demonstration purposes only and is not for clinical use. All analysis is performed by a generative AI and has not been validated.
-        </p>
-      </div>
-      {error && (
-        <div className="mt-4 p-4 border border-red-500 rounded flex items-center bg-red-900 bg-opacity-50">
-            <span className="text-xl mr-3">⚠️</span>
-            <p className="text-sm">{error}</p>
-        </div>
-      )}
-      <div className="mt-6 grid grid-cols-1 lg:grid-cols-2 gap-6">
-        <div className="bg-black bg-opacity-30 p-6 rounded-lg">
-          <h2 className="text-2xl font-bold">PATIENT DATA INPUT</h2>
-          <p className="text-sm mt-2 text-blue-400">Now viewing sample data from: Mayo Clinic, Rochester</p>
-          <div className="mt-4 max-h-96 overflow-y-auto bg-black bg-opacity-50 p-4 rounded">
-            {patients.map((patient) => (
-              <div key={patient.patient_id} className="text-sm mb-3">
-                <strong className="text-blue-300">{patient.patient_id}</strong>: {patient.age}y {patient.gender}, {patient.diagnosis}, {patient.comorbidities}.
-              </div>
-            ))}
-          </div>
-          <button
-            onClick={analyzePatients}
-            disabled={loading}
-            className="mt-4 w-full border-2 border-white py-2 px-4 rounded uppercase font-bold hover:bg-white hover:text-blue-900 transition disabled:bg-gray-500 disabled:cursor-not-allowed"
-          >
-            {loading ? 'Analyzing...' : 'Analyze Patients'}
-          </button>
-        </div>
-        <div className="bg-black bg-opacity-30 p-6 rounded-lg">
-          <h2 className="text-2xl font-bold">ANALYSIS REPORTS</h2>
-          <div className="mt-4 space-y-4 max-h-[30rem] overflow-y-auto">
-            {analyses.length === 0 && !loading && (
-                <div className="text-center text-gray-400 py-10">
-                    Click 'Analyze Patients' to see risk reports.
-                </div>
-            )}
-            {analyses.map((analysis) => (
-              <div key={analysis.patient_id} className="bg-black bg-opacity-50 p-4 rounded">
-                <div className="flex justify-between items-start">
-                    <h3 className="text-lg font-bold text-blue-300">{analysis.patient_id}</h3>
-                    <span className={`py-1 px-3 rounded text-xs font-bold ${
-                        analysis.risk_label === 'HIGH RISK' ? 'bg-red-600' :
-                        analysis.risk_label === 'MEDIUM RISK' ? 'bg-yellow-600' :
-                        analysis.risk_label === 'LOW RISK' ? 'bg-green-600' :
-                        'bg-gray-600'
-                    }`}>
-                      {analysis.risk_label}
-                    </span>
-                </div>
-                <div className="mt-2">
-                  <p className="text-xs uppercase">Confidence Score</p>
-                  <div className="bg-gray-700 h-2 rounded mt-1">
-                    <div className="bg-cyan-500 h-2 rounded" style={{ width: `${analysis.risk_score}%` }}></div>
-                  </div>
-                  <p className="text-sm text-right font-bold">{analysis.risk_score}%</p>
-                </div>
-                <h4 className="mt-2 text-sm font-bold">Contributing Factors</h4>
-                <ul className="list-disc pl-5 text-sm opacity-90">
-                  {analysis.contributing_factors.map((factor, idx) => <li key={idx}>{factor}</li>)}
-                </ul>
-                <h4 className="mt-2 text-sm font-bold">Preventive Recommendations</h4>
-                <ul className="list-disc pl-5 text-sm opacity-90">
-                  {analysis.recommendations.map((rec, idx) => <li key={idx}>{rec}</li>)}
-                </ul>
-              </div>
-            ))}
-          </div>
         </div>
-      </div>
     </div>
   );
 };

+import React, { useState, useEffect, useCallback } from 'react';
+import Papa from 'papaparse';
+import { InputPanel } from './components/InputPanel';
+import { ResultsPanel } from './components/ResultsPanel';
+import { Header } from './components/Header';
+import { Disclaimer } from './components/Disclaimer';
+import { usePatientAnalysis } from './hooks/usePatientAnalysis';
+import { ALL_PATIENTS, HOSPITALS } from './constants';
+import { runInference } from './api/aiApi';
+const shuffleArray = <T,>(array: T[]): T[] => {
+  const newArr = [...array];
+  for (let i = newArr.length - 1; i > 0; i--) {
+    const j = Math.floor(Math.random() * (i + 1));
+    [newArr[i], newArr[j]] = [newArr[j], newArr[i]];
+  }
+  return newArr;
+};
 const App: React.FC = () => {
+  const [csvData, setCsvData] = useState<string>('');
+  const [currentHospital, setCurrentHospital] = useState<string>(HOSPITALS[0]);
+  const {
+    analysisResults,
+    isAnalyzing,
+    errors,
+    runAnalysis,
+  } = usePatientAnalysis(runInference);
+  const prepareNewBatch = useCallback(() => {
+    const availableHospitals = HOSPITALS.filter(h => h !== currentHospital);
+    const newHospital = availableHospitals[Math.floor(Math.random() * availableHospitals.length)] || HOSPITALS[0];
+    const newBatch = shuffleArray(ALL_PATIENTS).slice(0, 4 + Math.floor(Math.random() * 4));
+    const newCsvData = Papa.unparse(
+        newBatch.map(p => ({...p, hospital: newHospital})),
+        { header: true, skipEmptyLines: true }
+    );
+    setCsvData(newCsvData);
+    setCurrentHospital(newHospital);
+  }, [currentHospital]);
   useEffect(() => {
+    prepareNewBatch();
   }, []);
+  const handleAnalyze = () => {
+    runAnalysis(csvData);
   };
   return (
+    <div className="min-h-screen font-sans text-slate-100">
+      <Header />
+      <main className="container mx-auto p-4 md:p-8">
+        <Disclaimer />
+        <div className="grid grid-cols-1 lg:grid-cols-2 gap-8 mt-8">
+          <InputPanel
+            csvData={csvData}
+            setCsvData={setCsvData}
+            onAnalyze={handleAnalyze}
+            isAnalyzing={isAnalyzing}
+            hospitalName={currentHospital}
+            onShuffle={prepareNewBatch}
+          />
+          <ResultsPanel
+            results={analysisResults}
+            errors={errors}
+            isAnalyzing={isAnalyzing}
+          />
         </div>
+      </main>
+      <footer className="text-center p-4 text-slate-400 text-sm">
+        <p>Demonstration UI connecting to a live Gemini 1.5 Flash model via a FastAPI backend.</p>
+      </footer>
     </div>
   );
 };

frontend/src/api/aiApi.ts ADDED Viewed

	@@ -0,0 +1,20 @@

+import axios from 'axios';
+import type { Patient, BackendAnalysisResult } from '../types';
+export const runInference = async (patients: Patient[]): Promise<BackendAnalysisResult[]> => {
+  console.log("Sending", patients.length, "patients to the backend for analysis...");
+  try {
+    const response = await axios.post('/api/analyze', { patients });
+    console.log("Received analysis from backend:", response.data);
+    return response.data;
+  } catch (error) {
+    console.error("Error calling backend API:", error);
+    if (axios.isAxiosError(error) && error.response) {
+      // If the backend provides a structured error, re-throw it
+      throw new Error(`API Error: ${error.response.data.detail || error.message}`);
+    }
+    // Otherwise, throw a generic network error
+    throw new Error('Failed to communicate with the analysis server.');
+  }
+};

frontend/src/components/Disclaimer.tsx ADDED Viewed

	@@ -0,0 +1,24 @@

+import React from 'react';
+export const Disclaimer: React.FC = () => {
+    return (
+        <div className="bg-cyan-500/10 border-l-4 border-cyan-400 p-4 rounded-r-lg backdrop-blur-sm">
+            <div className="flex">
+                <div className="py-1">
+                     <svg className="h-6 w-6 text-cyan-300 mr-4 shrink-0" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" strokeWidth={2}>
+                        <path strokeLinecap="round" strokeLinejoin="round" d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
+                    </svg>
+                </div>
+                <div>
+                    <h3 className="font-bold text-cyan-200">Live AI Demonstration</h3>
+                    <p className="text-sm text-cyan-200/80 mt-1">
+                       This application connects to a <strong>live Google Gemini 1.5 Flash model</strong> via a Python FastAPI backend.
+                    </p>
+                    <p className="text-sm text-cyan-200/80 mt-2">
+                       The patient data is a randomized, de-identified sample. This application is for demonstration purposes and is <strong>not for clinical use.</strong>
+                    </p>
+                </div>
+            </div>
+        </div>
+    );
+};

frontend/src/components/Header.tsx ADDED Viewed

	@@ -0,0 +1,16 @@

+import React from 'react';
+export const Header: React.FC = () => {
+  return (
+    <header className="sticky top-0 z-10 bg-black/10 backdrop-blur-lg border-b border-white/10 shadow-lg">
+      <div className="container mx-auto px-4 py-5 md:px-8">
+        <h1 className="text-3xl font-bold text-white">
+          Prevently<span className="text-cyan-300">.ai</span>
+        </h1>
+        <p className="mt-1 text-md text-slate-300">
+          AI-Powered Hospital Readmission Risk Prediction
+        </p>
+      </div>
+    </header>
+  );
+};

frontend/src/components/InputPanel.tsx ADDED Viewed

	@@ -0,0 +1,59 @@

+import React from 'react';
+interface InputPanelProps {
+  csvData: string;
+  setCsvData: (data: string) => void;
+  onAnalyze: () => void;
+  isAnalyzing: boolean;
+  hospitalName: string;
+  onShuffle: () => void;
+}
+export const InputPanel: React.FC<InputPanelProps> = ({
+  csvData,
+  setCsvData,
+  onAnalyze,
+  isAnalyzing,
+  hospitalName,
+  onShuffle
+}) => {
+  return (
+    <div className="bg-white/5 p-6 rounded-2xl shadow-2xl border border-white/10 backdrop-blur-xl">
+      <div className="flex justify-between items-center mb-4">
+        <h2 className="text-xl font-semibold text-white">Patient Data Input</h2>
+        <button onClick={onShuffle} disabled={isAnalyzing} className="text-sm text-cyan-300 hover:text-cyan-200 disabled:opacity-50 transition">New Batch</button>
+      </div>
+      <div className="bg-black/10 p-3 rounded-xl mb-4 border border-white/10">
+        <p className="text-sm text-slate-300">
+            Now viewing sample data from: <strong className="font-semibold text-white">{hospitalName}</strong>
+        </p>
+      </div>
+      <textarea
+        value={csvData}
+        onChange={(e) => setCsvData(e.target.value)}
+        className="w-full h-80 p-3 border border-white/20 rounded-xl shadow-inner bg-black/20 focus:ring-2 focus:ring-cyan-400 focus:border-cyan-400 transition duration-150 ease-in-out font-mono text-xs text-slate-200 placeholder:text-slate-500"
+        placeholder="patient_id,age,gender,..."
+        disabled={isAnalyzing}
+      />
+      <button
+        onClick={onAnalyze}
+        disabled={isAnalyzing || !csvData.trim()}
+        className="mt-4 w-full bg-white/10 border border-white/20 text-white font-bold py-3 px-4 rounded-xl hover:bg-white/20 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-offset-slate-900 focus:ring-cyan-400 disabled:bg-white/5 disabled:text-slate-400 disabled:cursor-not-allowed transition-all duration-200 ease-in-out flex items-center justify-center backdrop-blur-sm"
+      >
+        {isAnalyzing ? (
+          <>
+            <svg className="animate-spin -ml-1 mr-3 h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
+              <circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
+              <path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
+            </svg>
+            Analyzing...
+          </>
+        ) : (
+          'Analyze Patients'
+        )}
+      </button>
+    </div>
+  );
+};

frontend/src/components/ReportCard.tsx ADDED Viewed

	@@ -0,0 +1,114 @@

+import React from 'react';
+import type { AnalysisResult } from '../types';
+import { RiskLevel } from '../types';
+import { Spinner } from './Spinner';
+interface ReportCardProps {
+  result: AnalysisResult;
+}
+const RiskBadge: React.FC<{ level: RiskLevel }> = ({ level }) => {
+  const riskStyles = {
+    [RiskLevel.Low]: 'bg-green-500/10 text-green-300 border-green-500/20',
+    [RiskLevel.Medium]: 'bg-yellow-500/10 text-yellow-300 border-yellow-500/20',
+    [RiskLevel.High]: 'bg-red-500/10 text-red-300 border-red-500/20',
+  };
+  return (
+    <span className={`px-3 py-1 text-sm font-semibold rounded-full border ${riskStyles[level]} backdrop-blur-sm`}>
+      {level} Risk
+    </span>
+  );
+};
+const Section: React.FC<{ title: string; children: React.ReactNode }> = ({ title, children }) => (
+    <div>
+        <h4 className="font-semibold text-slate-300">{title}</h4>
+        {children}
+    </div>
+);
+export const ReportCard: React.FC<ReportCardProps> = ({ result }) => {
+    const cardBaseStyle = "border rounded-xl p-4 transition-all duration-500";
+    const animationStyle = {
+        animation: `fadeIn 0.5s ease-in-out`,
+        animationFillMode: 'forwards',
+        opacity: 0,
+    } as React.CSSProperties;
+  if (result.status === 'loading') {
+    return (
+      <div className={`${cardBaseStyle} border-white/10 bg-black/10 animate-pulse flex items-center space-x-4`} style={animationStyle}>
+        <Spinner />
+        <div>
+            <p className="font-bold text-slate-300">Analyzing Patient {result.patient.patient_id}...</p>
+            <div className="h-4 bg-white/10 rounded w-48 mt-1"></div>
+        </div>
+      </div>
+    );
+  }
+  if (result.status === 'error') {
+    return (
+      <div className={`${cardBaseStyle} border-red-500/30 bg-red-900/40`} style={animationStyle}>
+        <div className="flex justify-between items-center">
+          <h3 className="text-lg font-bold text-red-200">Patient {result.patient.patient_id}</h3>
+        </div>
+        <p className="mt-2 text-red-300">
+            <strong className="font-semibold">Analysis Failed:</strong> {result.error}
+        </p>
+      </div>
+    );
+  }
+  const { analysis, patient } = result;
+  return (
+    <div className={`${cardBaseStyle} border-white/10 bg-black/10 hover:bg-black/20`} style={animationStyle}>
+        <div className="flex justify-between items-start mb-3">
+            <h3 className="text-lg font-bold text-white">Patient {patient.patient_id}</h3>
+            <RiskBadge level={analysis.risk_level} />
+        </div>
+        <div className="space-y-4">
+            <Section title="Confidence Score">
+                <div className="w-full bg-white/10 rounded-full h-2.5 my-1">
+                    <div className="bg-cyan-400 h-2.5 rounded-full" style={{ width: `${analysis.confidence_score * 100}%` }}></div>
+                </div>
+                <p className="text-right text-sm text-slate-300 font-medium">{(analysis.confidence_score * 100).toFixed(1)}%</p>
+            </Section>
+            <Section title="Contributing Factors">
+                <ul className="list-disc list-inside text-slate-300 text-sm space-y-1 mt-1">
+                    {analysis.contributing_factors.map((factor, i) => <li key={i}>{factor}</li>)}
+                </ul>
+            </Section>
+            <Section title="Preventive Recommendations">
+                <ul className="list-disc list-inside text-slate-300 text-sm space-y-1 mt-1">
+                    {analysis.preventive_recommendations.map((rec, i) => <li key={i}>{rec}</li>)}
+                </ul>
+            </Section>
+             <details className="text-xs text-slate-400">
+                <summary className="cursor-pointer font-medium hover:text-white">Show Original Data</summary>
+                <div className="mt-2 p-3 bg-black/20 rounded-lg border border-white/10">
+                    <p><strong>Hospital:</strong> {patient.hospital}</p>
+                    <p><strong>Age:</strong> {patient.age}</p>
+                    <p><strong>Gender:</strong> {patient.gender}</p>
+                    <p><strong>Diagnosis:</strong> {patient.primary_diagnosis}</p>
+                    <p><strong>Comorbidities:</strong> {patient.comorbidities}</p>
+                    <p><strong>Medications:</strong> {patient.medications_at_discharge}</p>
+                    <p><strong>Length of Stay:</strong> {patient.length_of_stay_days} days</p>
+                </div>
+            </details>
+        </div>
+        <style>{\`
+            @keyframes fadeIn {
+                from { opacity: 0; transform: translateY(10px); }
+                to { opacity: 1; transform: translateY(0); }
+            }
+        \`}</style>
+    </div>
+  );
+};

frontend/src/components/ResultsPanel.tsx ADDED Viewed

	@@ -0,0 +1,70 @@

+import React from 'react';
+import { ReportCard } from './ReportCard';
+import { Spinner } from './Spinner';
+import type { AnalysisResult, AnalysisErrors } from '../types';
+interface ResultsPanelProps {
+  results: AnalysisResult[];
+  errors: AnalysisErrors;
+  isAnalyzing: boolean;
+}
+const ErrorDisplay: React.FC<{title: string; errors: string[]}> = ({ title, errors }) => (
+  <div className="bg-red-900/40 border-l-4 border-red-500 text-red-200 p-4 mb-4 rounded-r-lg" role="alert">
+    <p className="font-bold">{title}</p>
+    <ul className="mt-2 list-disc list-inside text-sm">
+      {errors.map((e, i) => <li key={i}>{e}</li>)}
+    </ul>
+  </div>
+);
+const GettingStarted: React.FC = () => (
+  <div className="text-center py-16 text-slate-400">
+    <svg xmlns="http://www.w3.org/2000/svg" className="mx-auto h-12 w-12 text-slate-500" fill="none" viewBox="0 0 24 24" stroke="currentColor" strokeWidth="1">
+      <path strokeLinecap="round" strokeLinejoin="round" d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" />
+    </svg>
+    <h3 className="mt-4 text-lg font-semibold text-slate-200">Ready for Analysis</h3>
+    <p className="mt-1 text-sm text-slate-400">
+      Click 'Analyze Patients' to see the reports appear here.
+    </p>
+  </div>
+);
+export const ResultsPanel: React.FC<ResultsPanelProps> = ({ results, errors, isAnalyzing }) => {
+  const { parseError, validationErrors } = errors;
+  const hasResults = results.length > 0;
+  const hasValidationErrors = validationErrors.length > 0;
+  return (
+    <div className="bg-white/5 p-6 rounded-2xl shadow-2xl border border-white/10 backdrop-blur-xl min-h-[580px]">
+      <h2 className="text-xl font-semibold mb-4 text-white">Analysis Reports</h2>
+      {parseError && (
+        <ErrorDisplay title="Parsing Error" errors={[parseError]} />
+      )}
+      {hasValidationErrors && (
+        <ErrorDisplay title="Data Validation Errors" errors={validationErrors} />
+      )}
+      {isAnalyzing && !hasResults && !parseError && !hasValidationErrors && (
+        <div className="flex justify-center items-center py-16">
+          <Spinner />
+          <p className="ml-4 text-slate-300">Parsing & validating data...</p>
+        </div>
+      )}
+      {!isAnalyzing && !hasResults && !parseError && !hasValidationErrors && (
+        <GettingStarted />
+      )}
+      {hasResults && (
+        <div className="space-y-4 h-[480px] overflow-y-auto pr-2">
+          {results.map((result, index) => (
+            <ReportCard key={result.patient.patient_id || index} result={result} />
+          ))}
+        </div>
+      )}
+    </div>
+  );
+};

frontend/src/components/Spinner.tsx ADDED Viewed

	@@ -0,0 +1,10 @@

+import React from 'react';
+export const Spinner: React.FC = () => {
+    return (
+        <svg className="animate-spin h-6 w-6 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
+            <circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
+            <path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
+        </svg>
+    );
+};

frontend/src/constants.ts ADDED Viewed

	@@ -0,0 +1,34 @@

+export const HOSPITALS = [
+    "Mayo Clinic, Rochester",
+    "Johns Hopkins Hospital, Baltimore",
+    "Cleveland Clinic, Cleveland",
+    "Massachusetts General Hospital, Boston",
+    "Charité - Universitätsmedizin Berlin",
+    "Singapore General Hospital",
+    "The University of Tokyo Hospital",
+    "Toronto General Hospital",
+    "UCLA Medical Center, Los Angeles",
+];
+export const ALL_PATIENTS = [
+    { patient_id: "P001", age: 72, gender: "Male", hospital: "Mayo Clinic, Rochester", primary_diagnosis: "Congestive Heart Failure", comorbidities: "Hypertension, Diabetes Type 2", medications_at_discharge: "Lisinopril, Metformin, Furosemide", length_of_stay_days: 8 },
+    { patient_id: "P002", age: 65, gender: "Female", hospital: "Johns Hopkins Hospital, Baltimore", primary_diagnosis: "COPD", comorbidities: "Asthma, Smoking History", medications_at_discharge: "Albuterol, Prednisone", length_of_stay_days: 5 },
+    { patient_id: "P003", age: 81, gender: "Female", hospital: "Massachusetts General Hospital, Boston", primary_diagnosis: "Pneumonia", comorbidities: "Atrial Fibrillation, Chronic Kidney Disease, Lives Alone", medications_at_discharge: "Warfarin, Amoxicillin", length_of_stay_days: 12 },
+    { patient_id: "P004", age: 58, gender: "Male", hospital: "Cleveland Clinic, Cleveland", primary_diagnosis: "Myocardial Infarction", comorbidities: "Hyperlipidemia, Obesity, Family history of heart disease", medications_at_discharge: "Atorvastatin, Aspirin, Metoprolol", length_of_stay_days: 6 },
+    { patient_id: "P005", age: 76, gender: "Female", hospital: "Charité - Universitätsmedizin Berlin", primary_diagnosis: "Stroke", comorbidities: "Hypertension, Hyperlipidemia, Previous TIA", medications_at_discharge: "Clopidogrel, Simvastatin", length_of_stay_days: 10 },
+    { patient_id: "P006", age: 49, gender: "Male", hospital: "UCLA Medical Center, Los Angeles", primary_diagnosis: "Post-surgical Infection", comorbidities: "Non-adherence to post-op instructions", medications_at_discharge: "Vancomycin", length_of_stay_days: 14 },
+    { patient_id: "P007", age: 88, gender: "Male", hospital: "Toronto General Hospital", primary_diagnosis: "Sepsis", comorbidities: "Dementia, Malnutrition, Social isolation", medications_at_discharge: "Ceftriaxone, IV Fluids", length_of_stay_days: 9 },
+    { patient_id: "P008", age: 62, gender: "Female", hospital: "The University of Tokyo Hospital", primary_diagnosis: "Diabetic Ketoacidosis", comorbidities: "Diabetes Type 1, Depression", medications_at_discharge: "Insulin, Potassium Chloride", length_of_stay_days: 4 },
+    { patient_id: "P009", age: 79, gender: "Male", hospital: "Singapore General Hospital", primary_diagnosis: "Acute Renal Failure", comorbidities: "Chronic Kidney Disease, Hypertension, Gout", medications_at_discharge: "Furosemide, Allopurinol", length_of_stay_days: 7 },
+    { patient_id: "P010", age: 55, gender: "Female", hospital: "Mayo Clinic, Rochester", primary_diagnosis: "Hip Replacement", comorbidities: "Osteoarthritis, History of falls", medications_at_discharge: "Oxycodone, Enoxaparin", length_of_stay_days: 5 },
+    { patient_id: "P011", age: 70, gender: "Male", hospital: "Johns Hopkins Hospital, Baltimore", primary_diagnosis: "Gastrointestinal Bleed", comorbidities: "Peptic Ulcer Disease, Substance use history (alcohol)", medications_at_discharge: "Pantoprazole, Octreotide", length_of_stay_days: 6 },
+    { patient_id: "P012", age: 85, gender: "Female", hospital: "Cleveland Clinic, Cleveland", primary_diagnosis: "Urinary Tract Infection", comorbidities: "Incontinence, Recurrent UTIs, Unstable housing", medications_at_discharge: "Ciprofloxacin", length_of_stay_days: 5 },
+    { patient_id: "P013", age: 34, gender: "Male", hospital: "Massachusetts General Hospital, Boston", primary_diagnosis: "Cellulitis from IV drug use", comorbidities: "Substance use disorder (opioids), Hepatitis C, Homeless", medications_at_discharge: "Clindamycin, Buprenorphine", length_of_stay_days: 7 },
+    { patient_id: "P014", age: 45, gender: "Female", hospital: "Charité - Universitätsmedizin Berlin", primary_diagnosis: "Asthma Exacerbation", comorbidities: "Anxiety, GERD, Frequent ER visits for asthma", medications_at_discharge: "Fluticasone, Montelukast", length_of_stay_days: 3 },
+    { patient_id: "P015", age: 96, gender: "Female", hospital: "UCLA Medical Center, Los Angeles", primary_diagnosis: "Fall with hip fracture", comorbidities: "Frailty, Osteoporosis, Vision impairment, Dementia", medications_at_discharge: "Calcium, Vitamin D, Donepezil", length_of_stay_days: 10 },
+    { patient_id: "P016", age: 52, gender: "Male", hospital: "Toronto General Hospital", primary_diagnosis: "Schizophrenia exacerbation", comorbidities: "Medication non-adherence, Social isolation", medications_at_discharge: "Risperidone, Lorazepam", length_of_stay_days: 15 },
+    { patient_id: "P017", age: 68, gender: "Female", hospital: "The University of Tokyo Hospital", primary_diagnosis: "Knee Replacement Surgery", comorbidities: "Obesity, Hypertension", medications_at_discharge: "Rivaroxaban, Tramadol", length_of_stay_days: 4 },
+    { patient_id: "P018", age: 29, gender: "Male", hospital: "Singapore General Hospital", primary_diagnosis: "Uncomplicated Appendectomy", comorbidities: "None", medications_at_discharge: "None", length_of_stay_days: 2 },
+    { patient_id: "P019", age: 61, gender: "Female", hospital: "Mayo Clinic, Rochester", primary_diagnosis: "Myocardial Infarction", comorbidities: "Language barrier (Spanish-speaking only), Diabetes", medications_at_discharge: "Lisinopril, Aspirin", length_of_stay_days: 9 },
+    { patient_id: "P020", age: 41, gender: "Male", hospital: "Johns Hopkins Hospital, Baltimore", primary_diagnosis: "Major Depressive Disorder", comorbidities: "Suicidal ideation (resolved), Substance use history (alcohol)", medications_at_discharge: "Sertraline", length_of_stay_days: 8 }
+];

frontend/src/hooks/usePatientAnalysis.ts ADDED Viewed

	@@ -0,0 +1,96 @@

+import { useState, useCallback } from 'react';
+import Papa from 'papaparse';
+import type { Patient, AnalysisResult, AnalysisErrors, BackendAnalysisResult } from '../types';
+import { PatientSchema } from '../validation/schemas';
+type InferenceFn = (patients: Patient[]) => Promise<BackendAnalysisResult[]>;
+export const usePatientAnalysis = (inferenceFn: InferenceFn) => {
+  const [analysisResults, setAnalysisResults] = useState<AnalysisResult[]>([]);
+  const [isAnalyzing, setIsAnalyzing] = useState<boolean>(false);
+  const [errors, setErrors] = useState<AnalysisErrors>({ parseError: null, validationErrors: [] });
+  const runAnalysis = useCallback(async (csvData: string) => {
+    setIsAnalyzing(true);
+    setErrors({ parseError: null, validationErrors: [] });
+    setAnalysisResults([]);
+    Papa.parse(csvData, {
+      header: true,
+      skipEmptyLines: true,
+      dynamicTyping: true,
+      complete: async (results) => {
+        if (results.errors.length > 0) {
+          setErrors({ parseError: `Error parsing CSV data: ${results.errors.map(e => e.message).join(', ')}`, validationErrors: [] });
+          setIsAnalyzing(false);
+          return;
+        }
+        const validationErrorMessages: string[] = [];
+        const validPatients: Patient[] = [];
+        results.data.forEach((row: any, index) => {
+            const validationResult = PatientSchema.safeParse(row);
+            if(validationResult.success){
+                validPatients.push(validationResult.data as Patient);
+            } else {
+                const id = row.patient_id || `Row ${index + 2}`;
+                const issues = validationResult.error.issues.map(i => `${i.path.join('.')}: ${i.message}`).join(', ');
+                validationErrorMessages.push(`Patient ${id} is invalid - ${issues}`);
+            }
+        });
+        setErrors({ parseError: null, validationErrors: validationErrorMessages });
+        if(validPatients.length === 0){
+          if(validationErrorMessages.length === 0) {
+             setErrors(prev => ({ ...prev, parseError: "No valid patient data found to analyze." }));
+          }
+          setIsAnalyzing(false);
+          return;
+        }
+        const initialResults: AnalysisResult[] = validPatients.map((p) => ({ status: 'loading', patient: p }));
+        setAnalysisResults(initialResults);
+        try {
+          const backendResults: BackendAnalysisResult[] = await inferenceFn(validPatients);
+          const resultsMap = new Map(backendResults.map(res => [res.patient_id, res]));
+          const finalResults: AnalysisResult[] = validPatients.map(patient => {
+            const result = resultsMap.get(patient.patient_id);
+            if (!result) {
+              return { status: 'error', patient, error: 'Analysis result not returned from the server.' };
+            }
+            if (result.status === 'success') {
+              return { status: 'success', patient, analysis: result.analysis };
+            }
+            return { status: 'error', patient, error: result.error };
+          });
+          setAnalysisResults(finalResults);
+        } catch (err) {
+          const errorMessage = err instanceof Error ? err.message : 'An unknown error occurred during API communication.';
+          setAnalysisResults(
+            validPatients.map(p => ({ status: 'error', patient: p, error: errorMessage }))
+          );
+        } finally {
+          setIsAnalyzing(false);
+        }
+      },
+      error: (err: any) => {
+        setErrors({ parseError: `Failed to parse CSV: ${err.message}`, validationErrors: [] });
+        setIsAnalyzing(false);
+      }
+    });
+  }, [inferenceFn]);
+  return {
+    analysisResults,
+    isAnalyzing,
+    errors,
+    runAnalysis,
+  };
+};

frontend/src/index.css CHANGED Viewed

@@ -1,3 +1,27 @@
 @tailwind base;
 @tailwind components;
 @tailwind utilities;

 @tailwind base;
 @tailwind components;
 @tailwind utilities;
+body {
+  --c1: #3d3a77;
+  --c2: #1e1d3e;
+  --c3: #a43e4f;
+  --c4: #2b616d;
+  background: radial-gradient(circle at 10% 20%, var(--c1) 0%, transparent 25%),
+              radial-gradient(circle at 85% 70%, var(--c3) 0%, transparent 25%),
+              radial-gradient(circle at 25% 85%, var(--c4) 0%, transparent 30%),
+              #1e1d3e;
+  overflow-x: hidden;
+}
+body::before {
+  content: "";
+  position: fixed;
+  top: 0;
+  left: 0;
+  width: 100vw;
+  height: 100vh;
+  background-image: url('data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 800 800"><filter id="noiseFilter"><feTurbulence type="fractalNoise" baseFrequency="0.65" numOctaves="3" stitchTiles="stitch"/></filter><rect width="100%" height="100%" filter="url(%23noiseFilter)"/></svg>');
+  opacity: 0.05;
+  z-index: -1;
+  pointer-events: none;
+}

frontend/src/main.tsx CHANGED Viewed

@@ -1,6 +1,6 @@
 import React from 'react'
 import ReactDOM from 'react-dom/client'
-import App from './App.tsx'
 import './index.css'
 ReactDOM.createRoot(document.getElementById('root')!).render(

 import React from 'react'
 import ReactDOM from 'react-dom/client'
+import App from './App'
 import './index.css'
 ReactDOM.createRoot(document.getElementById('root')!).render(

frontend/src/types.ts ADDED Viewed

	@@ -0,0 +1,42 @@

+import { z } from 'zod';
+import { PatientSchema } from './validation/schemas';
+export type Patient = z.infer<typeof PatientSchema>;
+export enum RiskLevel {
+  Low = "Low",
+  Medium = "Medium",
+  High = "High",
+}
+export interface Analysis {
+    patient_id: string;
+    risk_level: RiskLevel;
+    confidence_score: number;
+    contributing_factors: string[];
+    preventive_recommendations: string[];
+}
+export interface BackendAnalysisSuccess {
+  status: 'success';
+  patient_id: string;
+  analysis: Analysis;
+}
+export interface BackendAnalysisError {
+  status: 'error';
+  patient_id: string;
+  error: string;
+}
+export type BackendAnalysisResult = BackendAnalysisSuccess | BackendAnalysisError;
+export type AnalysisResult =
+  | { status: 'loading'; patient: Patient }
+  | { status: 'success'; patient: Patient; analysis: Analysis }
+  | { status: 'error'; patient: Patient; error: string };
+export interface AnalysisErrors {
+  parseError: string | null;
+  validationErrors: string[];
+}

frontend/src/validation/schemas.ts ADDED Viewed

	@@ -0,0 +1,23 @@

+import { z } from 'zod';
+export const PatientSchema = z.object({
+  patient_id: z.string().min(1, { message: "patient_id cannot be empty." }),
+  age: z.number().int().positive({ message: "Age must be a positive number." }),
+  gender: z.string().min(1, { message: "Gender cannot be empty." }),
+  hospital: z.string().min(1, { message: "Hospital cannot be empty." }),
+  primary_diagnosis: z.string().min(1, { message: "Primary diagnosis cannot be empty." }),
+  comorbidities: z.string().min(1, { message: "Comorbidities cannot be empty." }),
+  medications_at_discharge: z.string().min(1, { message: "Medications cannot be empty." }),
+  length_of_stay_days: z.number().int().positive({ message: "Length of stay must be a positive number." }),
+  readmitted_within_30_days: z.preprocess(
+    (value) => {
+      if (typeof value === 'string') {
+        const lowercasedValue = value.toLowerCase();
+        if (lowercasedValue === 'true') return true;
+        if (lowercasedValue === 'false') return false;
+      }
+      return value;
+    },
+    z.boolean().optional()
+  ),
+});

frontend/tsconfig.json ADDED Viewed

	@@ -0,0 +1,21 @@

+{
+  "compilerOptions": {
+    "target": "ES2020",
+    "useDefineForClassFields": true,
+    "lib": ["ES2020", "DOM", "DOM.Iterable"],
+    "module": "ESNext",
+    "skipLibCheck": true,
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "noEmit": true,
+    "jsx": "react-jsx",
+    "strict": true,
+    "noUnusedLocals": true,
+    "noUnusedParameters": true,
+    "noFallthroughCasesInSwitch": true
+  },
+  "include": ["src"],
+  "references": [{ "path": "./tsconfig.node.json" }]
+}

frontend/tsconfig.node.json ADDED Viewed

	@@ -0,0 +1,11 @@

+{
+  "compilerOptions": {
+    "composite": true,
+    "skipLibCheck": true,
+    "module": "ESNext",
+    "moduleResolution": "bundler",
+    "allowSyntheticDefaultImports": true,
+    "strict": true
+  },
+  "include": ["vite.config.ts"]
+}

frontend/vite.config.ts CHANGED Viewed

@@ -1,14 +1,15 @@
-import { defineConfig } from 'vite';
-import react from '@vitejs/plugin-react';
 export default defineConfig({
   plugins: [react()],
-  build: {
-    outDir: 'dist',
-  },
   server: {
     proxy: {
-      '/api': 'http://localhost:8000',
     },
   },
-});

+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+// https://vitejs.dev/config/
 export default defineConfig({
   plugins: [react()],
   server: {
     proxy: {
+      '/api': {
+        target: 'http://127.0.0.1:8000',
+        changeOrigin: true,
+      },
     },
   },
+})