README.md

metadata

title: Diabetes Readmission
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_scopes:
  - inference-api

An example chatbot using Gradio, huggingface_hub, and the Hugging Face Inference API.

🩺 Diabetes Readmission Prediction Web App

An interactive machine learning application deployed on Hugging Face Spaces to predict the likelihood of hospital readmission for diabetic patients using clinical and demographic data.

🔗 Live Space:
https://huggingface.co/spaces/Parishri07/Diabetes_readmission

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📌 Project Overview

Hospital readmission among diabetic patients is a critical healthcare challenge. This project provides a web-based prediction system that helps estimate the probability of readmission using machine learning models.

The application is designed for:

• Educational purposes
• Healthcare analytics demonstrations
• Machine learning deployment practice

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✨ Key Features

• 🔍 Readmission Prediction
  Predicts whether a diabetic patient is likely to be readmitted.

• 🖥️ Interactive Web Interface
  Clean and simple UI built using Gradio.

• ⚡ Real-Time Inference
  Instant predictions based on user inputs.

• 🧩 Modular Codebase
  Easy to extend with new models or features.

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📂 Project Structure

Diabetes_readmission/ ├── app.py # Main application file ├── requirements.txt # Python dependencies ├── README.md # Project documentation ├── .python_version # Python version for Hugging Face Space ├── data/ ├── models/ └── notebooks/

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🚀 How the App Works

1. User enters patient clinical information through the UI.
2. Input data is processed and passed to a trained ML model.
3. The model predicts readmission risk.
4. Results are displayed instantly on the interface.

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🧠 Machine Learning Approach

The prediction system may use supervised ML models such as:

• Logistic Regression
• Random Forest
• Gradient Boosting / XGBoost

Model performance is evaluated using:

• Accuracy
• Precision
• Recall
• ROC-AUC

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🛠️ Technologies Used

• Python
• Gradio
• Scikit-learn
• Pandas & NumPy
• Hugging Face Spaces

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