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.
Grant Number
R21 HS024983
Principal Investigator(s)