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---
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!**
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