Machine learning-based prognostic prediction for hospitalized HIV/AIDS patients with cryptococcus in...
Machine learning-based prognostic prediction for hospitalized HIV/AIDS patients with cryptococcus infection in Guangxi, China
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Author / Creator
Zhan, Baili , Wei, Wudi , Xie, Zhiman , Meng, Sirun , Bao, Xiuli , He, Xiaotao , Xie, Xiaoting , Zhang, Meng , Ye, Li , Jiang, Junjun , Yang, Shixiong and Liang, Hao
Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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.
This retrospective prognostic study included HIV/AIDS patients with cryptococcosis in the Fourth People's Hospital of Nanning...
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Full title
Machine learning-based prognostic prediction for hospitalized HIV/AIDS patients with cryptococcus infection in Guangxi, China
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TN_cdi_doaj_primary_oai_doaj_org_article_aa4df33e82c449088fe9e57739f9347c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa4df33e82c449088fe9e57739f9347c
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ISSN
1471-2334
E-ISSN
1471-2334
DOI
10.1186/s12879-024-10013-y