Comparison of logistic regression with regularized machine learning methods for the prediction of tuberculosis disease in people living with HIV: cross-sectional hospital-based study in Kisumu County, Kenya

BACKGROUND: Tuberculosis (TB) is a major public health concern, particularly among people living with the Human immunodeficiency Virus (PLWH). Accurate prediction of TB disease in this population is crucial for early diagnosis and effective treatment. Logistic regression and regularized machine lear...

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Detalles Bibliográficos
Autores principales: orwa, James, Oduor, Patience, Okelloh, Douglas, Gethi, Dickson, Agaya, Janet, Okumu, Albert, Wandiga, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543507/
https://www.ncbi.nlm.nih.gov/pubmed/37790564
http://dx.doi.org/10.21203/rs.3.rs-3354948/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543507/
https://www.ncbi.nlm.nih.gov/pubmed/37790564
http://dx.doi.org/10.21203/rs.3.rs-3354948/v1

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