Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data

BACKGROUND: Previous epidemiological studies have examined the prevalence and risk factors for a variety of parasitic illnesses, including protozoan and soil-transmitted helminth (STH, e.g., hookworms and roundworms) infections. Despite advancements in machine learning for data analysis, the majorit...

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Detalles Bibliográficos
Autores principales: Zafar, Aziz, Attia, Ziad, Tesfaye, Mehret, Walelign, Sosina, Wordofa, Moges, Abera, Dessie, Desta, Kassu, Tsegaye, Aster, Ay, Ahmet, Taye, Bineyam
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/PMC9236253/
https://www.ncbi.nlm.nih.gov/pubmed/35700192
http://dx.doi.org/10.1371/journal.pntd.0010517

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236253/
https://www.ncbi.nlm.nih.gov/pubmed/35700192
http://dx.doi.org/10.1371/journal.pntd.0010517

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