update the readme file

README.md

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----
-license: mit
----
+---
+pretty_name: "Patient Risk Prediction Dataset"
+language:
+  - en
+tags: 
+  - medical
+  - healthcare
+  - risk-prediction
+  - patient-data
+  - electronic-health-records
+  - disease-prediction
+license: "mit"
+task_categories: 
+  - text-classification
+  - text-generation
+  - feature-extraction
+size_categories:
+  - 1K<n<10K
+---
+
+# 🏥 HealthRisk-1500: Medical Risk Prediction Dataset
+
+## 📌 Overview
+**HealthRisk-1500** is a real-world **patient risk prediction dataset** designed for training **NLP models, LLMs, and healthcare AI systems**. This dataset includes **1,500 unique patient records**, covering a wide range of **symptoms, medical histories, lab reports, and risk levels**. It is ideal for **predictive analytics, medical text processing, and clinical decision support**.
+
+## 🔍 Use Cases
+- **🩺 Disease Risk Prediction:** Train AI models to assess a patient's risk for diseases like **heart disease, diabetes, and Alzheimer's**.
+- **🧠 Clinical NLP Applications:** Extract meaningful insights from medical data.
+- **💡 Healthcare Chatbots & Assistants:** Enhance virtual medical assistants with real-world structured patient records.
+- **📊 Medical Research & AI Development:** Use in academic research for predictive modeling.
+
+## 📊 Dataset Structure
+The dataset consists of **1,500 patient records** with the following key attributes:
+
+| Column Name         | Description                                               |
+|---------------------|-----------------------------------------------------------|
+| **Patient_ID**      | Unique identifier for each patient                        |
+| **Age**            | Patient's age (20-80 years)                                |
+| **Gender**         | Male / Female                                             |
+| **Symptoms**       | Reported symptoms (e.g., "Chest pain, fatigue")          |
+| **Medical_History** | Past conditions (e.g., Hypertension, Diabetes)           |
+| **Medications**    | Prescribed medications                                    |
+| **Lab_Reports**    | Lab test results (e.g., High cholesterol, Normal sugar)   |
+| **Lifestyle**      | Health habits (e.g., Smoker, Active, Sedentary)           |
+| **Doctor_Notes**   | Short text summaries from doctors                         |
+| **Diagnosis**      | Predicted disease (e.g., Heart Disease, Diabetes)         |
+| **Risk_Level**     | Patient risk classification (Low, Medium, High)           |
+
+## 🚀 How to Use the Dataset
+You can load this dataset using **Hugging Face Datasets Library**:
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("lvimuth/HealthRisk-1500-Medical-Risk-Prediction")
+```
+
+### 🔥 Recommended Models for Training
+- **BERT / BioBERT / ClinicalBERT** (Text classification, medical text processing)
+- **DeepSeek LLMs** (Medical text summarization and prediction)
+- **GPT-based models** (Clinical chatbot training)
+
+## 📄 Licensing & Attribution
+- **License:** 📜 CC BY 4.0 *(Attribution required, free for research & commercial use)*.
+- **Citation:** Please cite this dataset when using it in your research or projects.
+
+## 📬 Contact & Contribution
+Have suggestions or want to contribute? Open a GitHub issue or reach out to me at **lvimuth**.
+
+📢 **If you find this dataset useful, please ⭐ star the project on Hugging Face!**