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

• Main Authors: Aziz Zafar (Author), Ziad Attia (Author), Mehret Tesfaye (Author), Sosina Walelign (Author), Moges Wordofa (Author), Dessie Abera (Author), Kassu Desta (Author), Aster Tsegaye (Author), Ahmet Ay (Author), Bineyam Taye (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2022-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

<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 an...