Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study

Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study

Abstract Antiretroviral therapy (ART) has transformed HIV from a rapidly progressive and fatal disease to a chronic disease with limited impact on life expectancy. However, people living with HIV(PLWHs) faced high critical illness risk due to the increased prevalence of various comorbidities and are...

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Bibliographic Details
Main Authors: Jialu Li, Yi Ding, Yiwei Hao, Chengyu Gao, Jinjing Xiao, Ying Liu, Yining Zhao, Qinlan Li, Lulu Xing, Hongyuan Liang, Liang Ni, Fang Wang, Sa Wang, Di Yang, Guiju Gao, Jiang Xiao, Hongxin Zhao
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Virology Journal
Subjects:
HIV
ICU
Admission
Machine learning
Predictive modeling
Artificial neural network (ANN)
Online Access:https://doi.org/10.1186/s12985-025-02900-w
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