Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach.

Background: Although previous epidemiological studies have examined the potential risk factors that increase the likelihood of acquiring Helicobacter pylori infections, most of these analyses have utilized conventional statistical models, including logistic regression, and have not benefited from advanced machine learning techniques.

Objective: We examined H. pylori infection risk factors among school children using machine learning algorithms to identify important risk factors as well as to determine whether machine learning can be used to predict H.

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.

Concurrent infection of intestinal parasites and among school-age children in Central Ethiopia.

Background: Coinfection of multiple intestinal microbial pathogens plays an important role in individuals harboring these organisms. However, data on magnitude and risk factors are scarce from resource limited settings.

Objective: We examined the prevalence and associated risk factors of intestinal parasites and co-infection among young Ethiopian school children.

Individual and household correlates of Helicobacter pylori infection among Young Ethiopian children in Ziway, Central Ethiopia.

Background: Investigating distinct individual- and household-level risk factors for acquiring Helicobacter pylori (H. pylori) infection can inform disease prevention efforts and implicate possible routes of transmission. This study determined the magnitude of H.

Association between infection with and platelet indices among school-aged children in central Ethiopia: a cross-sectional study.

Objective: Previous clinical studies in adults from developed countries have implicated infections in the development of thrombocytopenia. However, studies in children, particularly those from low-income countries, are unusually scarce. We examined the association between infection and platelet indices in young Ethiopian school children.