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