Identifying Patients with High Risk of Hospital Readmission
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About this project
A logistic regression model and decile and gain/lift analyses is used to recommend the group of patients with a higher probability of readmission to focus follow-up calls and attention on. A web app developed with Streamlit makes the model accessible for batch and online predictions.