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

Clinical Information and Decision Making (1915) HIV/AIDS/STI Prevention and Care (1043) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Statistical Methods for Surveillance and Population Health (188) Machine Learning (2076)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71257, first published .
Development and Spatial External Validation of a Predictive Model of Survival Based on Random Survival Forest Analysis for People Living With HIV and AIDS After Highly Active Antiretroviral Therapy in China: Retrospective Cohort Study

Development and Spatial External Validation of a Predictive Model of Survival Based on Random Survival Forest Analysis for People Living With HIV and AIDS After Highly Active Antiretroviral Therapy in China: Retrospective Cohort Study

Development and Spatial External Validation of a Predictive Model of Survival Based on Random Survival Forest Analysis for People Living With HIV and AIDS After Highly Active Antiretroviral Therapy in China: Retrospective Cohort Study

Authors of this article:

Xiaoshan Li1 Author Orcid Image ;   Yanhui Li2 Author Orcid Image ;   Zhengping Zhu3 Author Orcid Image ;   Bingxin Tan2 Author Orcid Image ;   Xiaoyi Zhou4 Author Orcid Image ;   Hongjie Shi3 Author Orcid Image ;   Xin Li3 Author Orcid Image ;   Ping Zhu4 Author Orcid Image ;   Yuanyuan Xu3 Author Orcid Image
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