metadata
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:
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!