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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...
Autores principales: | orwa, James, Oduor, Patience, Okelloh, Douglas, Gethi, Dickson, Agaya, Janet, Okumu, Albert, Wandiga, Steve |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
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 |
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