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

<h4>Background</h4>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...

Полное описание

Библиографические подробности

Главные авторы:	Aziz Zafar, Ziad Attia, Mehret Tesfaye, Sosina Walelign, Moges Wordofa, Dessie Abera, Kassu Desta, Aster Tsegaye, Ahmet Ay, Bineyam Taye
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Public Library of Science (PLoS) 2022-06-01
Серии:	PLoS Neglected Tropical Diseases
Online-ссылка:	https://doi.org/10.1371/journal.pntd.0010517
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!