---
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!**