Predicting congenital syphilis cases: A performance evaluation of different machine learning models

BACKGROUND: Communicable diseases represent a huge economic burden for healthcare systems and for society. Sexually transmitted infections (STIs) are a concerning issue, especially in developing and underdeveloped countries, in which environmental factors and other determinants of health play a role...

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Detalles Bibliográficos
Autores principales: Teixeira, Igor Vitor, da Silva Leite, Morgana Thalita, de Morais Melo, Flávio Leandro, da Silva Rocha, Élisson, Sadok, Sara, Pessoa da Costa Carrarine, Ana Sofia, Santana, Marília, Pinheiro Rodrigues, Cristina, de Lima Oliveira, Ana Maria, Vieira Gadelha, Keduly, de Morais, Cleber Matos, Kelner, Judith, Endo, Patricia Takako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237406/
https://www.ncbi.nlm.nih.gov/pubmed/37267293
http://dx.doi.org/10.1371/journal.pone.0276150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237406/
https://www.ncbi.nlm.nih.gov/pubmed/37267293
http://dx.doi.org/10.1371/journal.pone.0276150

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