Sahildas2003/Prediction-Of-Cardiac-Arrest
Built an end-to-end ML system to predict cardiac arrest risk in ICU patients using MIMIC-IV data. Engineered 40+ clinical features and applied Random Forest & SVM with high recall. Developed a Flask web app for real-time prediction, with visualizations and automated PDF reporting.
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MIT
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Last pushed
Mar 18, 2026
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