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

Cardiac Surgery (14) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Machine Learning (1501) Cardiology (164)

Published on in Vol 7 (2023)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47262, first published .
Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study

Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study

Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study

Authors of this article:

Lindsay Dryden1 Author Orcid Image ;   Jacquelin Song1 Author Orcid Image ;   Teresa J Valenzano1 Author Orcid Image ;   Zhen Yang1 Author Orcid Image ;   Meggie Debnath1 Author Orcid Image ;   Rebecca Lin1 Author Orcid Image ;   Jane Topolovec-Vranic1 Author Orcid Image ;   Muhammad Mamdani1 Author Orcid Image ;   Tony Antoniou1 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Sulague R, Beloy F, Medina J, Mortalla E, Cartojano T, Macapagal S, Kpodonu J. Artificial intelligence in cardiac surgery: A systematic review. World Journal of Surgery 2024;48(9):2073 View