Accessibility settings

This paper is in the following e-collection/theme issue:

Clinical Decision Support for Anesthesiology (24) Decision Support for Health Professionals (2161) Machine Learning (3092) Postoperative Monitoring and Telemonitoring (239)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65327, first published .
Surgeon in scrubs and mask checks monitor in operating room

Machine Learning for Predicting Critical Postoperative Interventions: Proof-of-Concept Study Using the INSPIRE Dataset

Machine Learning for Predicting Critical Postoperative Interventions: Proof-of-Concept Study Using the INSPIRE Dataset

Authors of this article:

Manan Shukla1 Author Orcid Image ;   Paul Fodor2 Author Orcid Image ;   Suresh Yelika3 Author Orcid Image ;   Nicholas Ahn3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Manan Shukla   1 , BS ;   Paul Fodor   2 , PhD ;   Suresh Yelika   3 , MD ;   Nicholas Ahn   3 , MD

1 Renaissance School of Medicine, Stonybrook University Hospital, Port Jefferson, NY, United States

2 Department of Computer Science, Stony Brook University, Stony Brook, NY, United States

3 Colorectal Surgery, Stony Brook Medicine, Stony Brook, NY, United States

Corresponding Author: