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

Cancer Prognosis Models and Machine Learning (84) Cancer Survivorship (366) Machine Learning (2252) Cardiac Disease Management (166) Innovations in Cancer Diagnostic and Decision Support (122) Chronic Conditions (486)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71937, first published .
Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong

Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong

Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong

Authors of this article:

Chun Sing Lam1 Author Orcid Image ;   Rong Hua1 Author Orcid Image ;   Herbert Ho-Fung Loong2 Author Orcid Image ;   Chun-Kit Ngan3 Author Orcid Image ;   Yin Ting Cheung1, 4 Author Orcid Image
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Journals

  1. Alkam T, Tarshizi E, Van Benschoten A. Detecting multimorbidity patterns in Alzheimer's disease using unsupervised machine learning: A nationwide emergency department study (2007–2022). Journal of Alzheimer’s Disease 2026 View