Pratap, Jayant

Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

Principal Investigator: 

Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report

Principal Investigator: 

Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation

Description: 

This research applied machine learning to develop a model predicting surgical cancellations among pediatric patients, and found the feasibility in using these algorithms as a cost-effective quality-improvement measure.

Principal Investigator: 
Project Dates: 
September 1, 2016 to August 31, 2019