nicolaDeCristofaro/predictive-models-in-healthcare
Data Science & Machine Learning Project applied to Healthcare
This project helps hospital administrators and clinical managers anticipate patient outcomes and resource needs. By analyzing electronic health records (EHR) data, it predicts a patient's length of stay, risk of in-hospital mortality, and likelihood of readmission within 30, 90, or 365 days. Healthcare professionals can use these predictions to optimize resource allocation, enhance patient care planning, and potentially improve patient safety.
No commits in the last 6 months.
Use this if you need to leverage existing electronic health record data to predict critical patient outcomes and improve hospital operational efficiency.
Not ideal if you are looking for real-time patient monitoring tools or diagnostic support systems based on live patient vitals rather than historical EHR data.
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Last pushed
Dec 01, 2021
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