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

Chun Sing Lam   1 , BPharm, PhD ;   Rong Hua   1 , MPhil ;   Herbert Ho-Fung Loong   2 , MBBS ;   Chun-Kit Ngan   3 , PhD ;   Yin Ting Cheung   1, 4 , PhD

1 School of Pharmacy, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China

2 Department of Clinical Oncology, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China

3 Data Science Program, Worcester Polytechnic Institute, Worcester, United States

4 Hong Kong Hub of Pediatric Excellence, Chinese University of Hong Kong, Hong Kong, China

Corresponding Author:

  • Yin Ting Cheung, PhD
  • School of Pharmacy
  • Faculty of Medicine, Chinese University of Hong Kong
  • 8th Floor, Lo Kwee-Seong Integrated Biomedical Sciences Building, Area 39, The Chinese University of Hong Kong, Shatin, N.T
  • Hong Kong
  • China
  • Phone: 852 39436833
  • Email: yinting.cheung@cuhk.edu.hk