ysk26/Patient-Readmission-Risk-Tracker
End-to-end ML pipeline predicting 30-day hospital readmissions using Random Forest + SMOTE on 101,766 real patient records
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ysk26/Patient-Readmission-Risk-Tracker"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
liujie-zheng/face-to-bmi-vit
Predict the Body Mass Index with one image of a human face, with state-of-the-art results.
lovnishverma/health-category-predict
A simple Flask web app that predicts health status based on BMI data using a Random Forest Classifier.
sandudul/BMI-Category-Predictor
This full-stack app leverages: Python libraries: scikit-learn, pandas, numpy, joblib, and Flask...
raquelrguezs/advanced-health-analytics
Clinical data analytics pipeline for hospital readmission risk prediction using synthetic EHR data.
analyst-ted/hospital-readmission-prediction
ML model to predict 30-day hospital readmission using patient data