Open AccessMachine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS
Author(s) -
Sara DomínguezRodríguez,
Miquel Serna-Pascual,
Andrea Oletto,
Shaun Barnabas,
Peter Zuidewind,
Els Dobbels,
Siva Danaviah,
Osee Behuhuma,
Maria Grazia Lain,
Paula Vaz,
Sheila Fernández-Luis,
Tacilta Nhampossa,
Elisa López-Varela,
Kennedy Otwombe,
Afaaf Liberty,
Avy Violari,
Almoustapha Issiaka Maïga,
Paolo Rossi,
Carlo Giaquinto,
Louise Kuhn,
Pablo Rojo,
Alfredo Tagarro
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0276116
Subject(s) - support vector machine , random forest , machine learning , logistic regression , artificial intelligence , naive bayes classifier , confusion matrix , medicine , sample size determination , hyperparameter , statistics , computer science , mathematics