BrawnyCucumber/cvd-ht-prediction

CVD & HT Risk Prediction Models

Machine learning models for cardiovascular disease and hypertension risk prediction.

Performance

Model	Accuracy	F1-Score	Features
Random Forest CVD	73-75%	72-74%	12
Random Forest HT	85-95%	82-92%	13
XGBoost CVD	73-75%	72-74%	12
XGBoost HT	85-95%	82-92%	13

Quick Start

import joblib
from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download(
    repo_id="BrawnyCucumber/cvd-ht-prediction",
    filename="random_forest_cvd.pkl"
)

# Load and use
model = joblib.load(model_path)
prediction = model.predict(X)

Models Included

• random_forest_cvd.pkl - CVD prediction
• random_forest_ht.pkl - HT prediction
• xgboost_cvd.pkl - CVD prediction
• xgboost_ht.pkl - HT prediction
• feature_selector_cvd.pkl - Feature selection
• feature_selector_ht.pkl - Feature selection

License

MIT