1. Predicting 30-Day ICU Readmission Rates Using Machine Learning on Electronic Health Records Open Access Author: Farooq, Sarah Title: Predicting 30-Day ICU Readmission Rates Using Machine Learning on Electronic Health Records Area of Honors: Data Sciences Keywords: machine learningclassificationEHRdataelectronic health recordshospitalICUreadmissionclass imbalancemissing valuesimputationrebalancinghospital readmissionpatientmedical dataXG BoostMICE data imputationhealthhealth caremodelsupervised learningmodel performance File: Download SarahFarooq_Honors_Thesis.pdf Thesis Supervisors: Fenglong Ma, Thesis SupervisorJohn Yen, Thesis Honors Advisor