Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with Cytomegalovirus infection: a single-centred retrospective study
( ) is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocompromised populations, especially transplant and HIV-infected patients, infection increases in-hospital mortality. Although machine learning models have been widely used in clinical diagnosis and progno...
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Veröffentlicht in: | Journal of medical microbiology 2024-11, Vol.73 (11) |
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Hauptverfasser: | , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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