Machine learning approach to identify malaria risk in travelers using real-world evidence

Background: Pre-travel consultation and chemoprophylaxis measures for malaria are a key component in the prevention of imported malaria in travelers. In this study we report a predictive tool for assessing personalized malaria risk in travelers based on the analysis of electronic medical records fro...

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Bibliographic Details
Main Authors: Pedro Emanuel Fleitas, Leire Balerdi Sarasola, Daniel Camprubi Ferrer, Jose Muñoz, Paula Petrone
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024045651