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

Artificial Intelligence (61) Artificial Intelligence (922) Clinical Informatics (706) Clinical Information and Decision Making (1125) Tools, Programs and Algorithms (208) Machine Learning (1194) Decision Support for Health Professionals (930) Development and Evaluation of Research Methods, Instruments and Tools (293) Perioperative Software Tools for Clinicians (11)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44909, first published .
Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Authors of this article:

Samir Kendale 1 Author Orcid Image ;   Andrew Bishara 2, 3 Author Orcid Image ;   Michael Burns 4 Author Orcid Image ;   Stuart Solomon 5 Author Orcid Image ;   Matthew Corriere 6 Author Orcid Image ;   Michael Mathis 4, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Rohatgi N. JMIR Perioperative Medicine: A Global Journal for Publishing Interdisciplinary Innovations, Research, and Perspectives. JMIR Perioperative Medicine 2023;6:e54344 View