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

Foundations of AI (63) Artificial Intelligence (2252)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42253, first published .
Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model

Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model

Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model

Authors of this article:

Anne Bowers1 Author Orcid Image ;   Chelsea Drake1 Author Orcid Image ;   Alexi E Makarkin1 Author Orcid Image ;   Robert Monzyk1 Author Orcid Image ;   Biswajit Maity1 Author Orcid Image ;   Andrew Telle1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Migiddorj B, Batterham M, Win K. Systematic literature review on the application of explainable artificial intelligence in palliative care studies. International Journal of Medical Informatics 2025;200:105914 View
  2. García Abejas A, Geraldes Santos D, Leite Costa F, Cordero Botejara A, Mota-Filipe H, Salvador Vergés À. Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review. Interactive Journal of Medical Research 2025;14:e73517 View
  3. Xu T, Liu C, Li L, Song D, Rose G, Zhu S. Exploring Artificial Intelligence in Hospice and Palliative Care: An Integrative Review of Technological and Clinical Approaches. Journal of Palliative Medicine 2026 View