Yifan Xing



Diabetes Readmission Prediction

This is a project in applying clustering and prediction algorithm to the prediction of Diabetes Patients' Readmission rate. Features considered in the prediction procedure include number of outpatient visits, number of emergency visits, time spent in hospital etc., and a bag of diabetes drugs' dosage information. Further, ranking of the significance of the features could help indicate the performance of the individual drugs and when used together.

In specific, machine learning techniques involved include Knn Prediction, Linear/rbf SVM, Decision Tree etc.

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