Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS

Domínguez-Rodríguez, S., Serna-Pascual, M., Oletto, A., Barnabas, S., Zuidewind, P., Dobbels, E., Danaviah, S., Behuhuma, O., Lain, M. G., Vaz, P., Fernández-Luis, S., Nhampossa, T., Lopez-Varela, E., Otwombe, K., Liberty, A., Violari, A., Maiga, A. I., Rossi, P., … Giaquinto, C. (2022). Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS. PLOS ONE, 17(10), e0276116. https://doi.org/10.1371/journal.pone.0276116
Authors:
Sara Dominguez Rodriguez
Miquel Serna Pascual
Andrea Oletto
Shaun Barnabas
Peter Zuidewind
Els Dobbels
Siva Danaviah
Osee Behuhuma
Maria Grazia Lain
Paula Vaz
Sheila Fernandez Luis
Tacilta Nhampossa
Elisa Lopez Varela
Kennedy Otwombe
Afaaf Liberty
Avy Violari
Almoustapha Issiaka Maiga
Paolo Rossi
Carlo Giaquinto
Louise Kuhn
Pablo Rojo
Alfredo Tagarro
Affiliated Authors:
Louise Kuhn
Publication Type:
Article
Unique ID:
10.1371/journal.pone.0276116
PMID:
Journal:
Publication Date:
Data Source:
Scopus

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