CoolFace
Datasetpublic

roronoazoroinsome/heart_disease_monitoring

🩺 Heart Disease Early Risk Detection Dataset A clean, structured dataset containing patient vital-sign measurements collected from a hospital setting for early detection of heart-related risks.The dataset supports multi-class classification with three risk levels: 0 — Normal 1 — Abnormal 2 — Risk This dataset is suitable for machine learning, statistical modeling, and health analytics research. 📦 Dataset Summary This dataset includes physiological… See the full description on the dataset page: https://huggingface.co/datasets/roronoazoroinsome/heart_disease_monitoring.

sourceHugging Faceupdated 10mo agoView on Hugging Face
0likes6downloads
Dataset Card

🩺 Heart Disease Early Risk Detection Dataset

A clean, structured dataset containing patient vital-sign measurements collected from a hospital setting for early detection of heart-related risks. The dataset supports multi-class classification with three risk levels:

  • —0 — Normal
  • —1 — Abnormal
  • —2 — Risk

This dataset is suitable for machine learning, statistical modeling, and health analytics research.

📦 Dataset Summary

This dataset includes physiological features such as age, oxygen saturation (SpO2), heart rate (BPM), and body temperature. These attributes are commonly used as early indicators for cardiovascular stress or potential heart disease.

  • —Features: 6
  • —Target variable: heart_risk
  • —Task: Multi-class Classification
  • —License: CC BY 4.0
  • —Source: Hospital-collected physiological data (All PII removed)

📁 Dataset Structure

➤ Columns Description

ColumnTypeDescription
ageintAge of the patient in years
genderint0 = Male, 1 = Female (or your mapping)
spo2intBlood oxygen saturation (%)
bpmintHeart rate in beats per minute
body_temperaturefloatBody temperature in °C
heart_riskintTarget label: 0 = Normal, 1 = Abnormal, 2 = Risk

🎯 Use Cases

  • —Heart disease risk prediction
  • —Early detection systems
  • —IoT health monitoring models
  • —Medical anomaly detection
  • —Health research and analytics
  • —Educational and academic projects
  • —Multi-class supervised learning

🧪 Example Usage (Python)

python
from datasets import load_dataset

dataset = load_dataset("your-username/heart-disease-early-risk")

print(dataset)
print(dataset["train"][0])