Machine learning-based prognostic prediction for hospitalized HIV/AIDS patients with cryptococcus infection in Guangxi, China

Machine learning-based prognostic prediction for hospitalized HIV/AIDS patients with cryptococcus infection in Guangxi, China

Abstract Objective To develop and validate a machine learning model for predicting mortality-associated prognostic factors in order to reduce in-hospital mortality rates among HIV/AIDS patients with Cryptococcus infection in Guangxi, China. Methods This retrospective prognostic study included HIV/AI...

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Bibliographic Details
Main Authors: Baili Zhan, Wudi Wei, Zhiman Xie, Sirun Meng, Xiuli Bao, Xiaotao He, Xiaoting Xie, Meng Zhang, Li Ye, Junjun Jiang, Shixiong Yang, Hao Liang
Format: Article
Language:English
Published: BMC 2024-10-01
Series:BMC Infectious Diseases
Subjects:
HIV
Cryptococcus
Machine learning
Prediction of prognosis
Online Access:https://doi.org/10.1186/s12879-024-10013-y

Internet

https://doi.org/10.1186/s12879-024-10013-y

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