A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

ABSTRACT: Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologies to contribute to the design of screening programs in this population. We conducted a retrospective cross-sectional screening program of imported diseases in all immigrant patients who attended the Tropical Medicine Unit between January 2009 and December 2016. We designed a mathematical model based on machine learning methodologies to establish the set of most discriminatory prognostic variables to predict the onset of the: HIV infection, malaria, chronic hepatitis B and C, schistosomiasis, and Chagas in immigrant population. We analyzed 759 p

SUBMITTER: Fernandez-Martinez JL 

PROVIDER: S-EPMC8592209 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature