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

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
  2. Mousavi Ganji S, Karimi M, Yazdi A, Ebrahimi A, Shirsalimi N, Ghomi F, Jahangiri S, Mahjub H. Machine learning-based models for predicting warfarin maintenance dose and investigating factors affecting INR status in patients with cardiovascular diseases: a cross-sectional study. Discover Medicine 2025;2(1) View
  3. Ji H, Gill M, Draper E, Liedl D, Hodge D, Houghton D, Casanegra A. Warfarin Dose Management Using Offline Deep Reinforcement Learning. IEEE Journal of Biomedical and Health Informatics 2025;29(7):5219 View
  4. Fülöp P, Tóth Š, Porubän T, Fülöpová Z, Borovská A, Dvorožňáková M. Machine Learning for Warfarin Therapy: A Systematic Review. Pharmaceuticals 2025;18(10):1544 View