Search

Author:

Farooq, Sarah

Title:

Predicting 30-Day ICU Readmission Rates Using Machine Learning on Electronic Health Records

Area of Honors:

Data Sciences

Keywords:

machine learning
classification
EHR
data
electronic health records
hospital
ICU
readmission
class imbalance
missing values
imputation
rebalancing
hospital readmission
patient
medical data
XG Boost
MICE data imputation
health
health care
model
supervised learning
model performance

File:

Download SarahFarooq_Honors_Thesis.pdf

Thesis Supervisors:

Fenglong Ma, Thesis Supervisor
John Yen, Thesis Honors Advisor