Early prediction of immunological non-responders in people living with HIV using machine learning: Model development and validation in multicenter cohorts in China

In this study, an interpretable ML model with nine baseline clinical indicators was constructed for early INR prediction in ART-naïve PLWH and was incorporated into a convenient web platform to facilitate individualized treatment and management.

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Publication Details

Journal
Journal of Infection and Public Health
Published
2025-12-24
DOI
https://doi.org/10.1016/j.jiph.2025.103116
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Early prediction of immunological non-responders in people living with HIV using machine learning: Model development and validation in multicenter cohorts in China

Jianhua Yu, FuJie Zhang, Hongxin Zhao, Fang Liu et al.
Journal of Infection and Public Health
HIV Research and Treatment
article

Early prediction of immunological non-responders in people living with HIV using machine learning: Model development and validation in multicenter cohorts in China

Jianhua Yu, FuJie Zhang, Hongxin Zhao, Fang Liu, Binyu Gao, Honglei Liu, Xi Wang, Hanxi Zhang, Rui Sun, Lijun Sun
article en

Abstract

In this study, an interpretable ML model with nine baseline clinical indicators was constructed for early INR prediction in ART-naïve PLWH and was incorporated into a convenient web platform to facilitate individualized treatment and management.

Journal of Infection and Public HealthVol. 19(3)
Capital Medical University (CN), Hangzhou Hospital of Traditional Chinese Medicine (CN), Hangzhou Xixi hospital (CN), Beijing YouAn Hospital (CN), Beijing Ditan Hospital (CN), Southeast University (CN)
Good health and well-being
Openalex Percentile: Top 34%
HIV Research and Treatment
DOIOpen Access PDFOpenAlex
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