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

Logistic regression (LR) is the most common prediction model in medicine. In recent years, supervised machine learning (ML) methods have gained popularity. However, there are many concerns about ML utility for small sample sizes. In this study, we aim to compare the performance of 7 algorithms in th...

Descripción completa

Detalles Bibliográficos
Autores principales: Domínguez-Rodríguez, Sara, Serna-Pascual, Miquel, Oletto, Andrea, Barnabas, Shaun, Zuidewind, Peter, Dobbels, Els, Danaviah, Siva, Behuhuma, Osee, Lain, Maria Grazia, Vaz, Paula, Fernández-Luis, Sheila, Nhampossa, Tacilta, Lopez-Varela, Elisa, Otwombe, Kennedy, Liberty, Afaaf, Violari, Avy, Maiga, Almoustapha Issiaka, Rossi, Paolo, Giaquinto, Carlo, Kuhn, Louise, Rojo, Pablo, Tagarro, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565414/
https://www.ncbi.nlm.nih.gov/pubmed/36240212
http://dx.doi.org/10.1371/journal.pone.0276116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565414/
https://www.ncbi.nlm.nih.gov/pubmed/36240212
http://dx.doi.org/10.1371/journal.pone.0276116

Ejemplares similares