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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 in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa4df33e82c449088fe9e57739f9347c

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

BMC infectious diseases, 2024-10, Vol.24 (1), p.1121-12, Article 1121

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

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...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

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

Other Identifiers

ISSN

1471-2334

E-ISSN

1471-2334

DOI

10.1186/s12879-024-10013-y

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