Machine learning for predicting Chagas disease infection in rural areas of Brazil.
Fábio de Rose GhilardiGabriel SilvaThallyta Maria VieiraAriela MotaAna Luiza BierrenbachRenata Fiuza DamascenoLea Campos de OliveiraAlexandre Dias Porto Chiavegatto FilhoEster SabinoPublished in: PLoS neglected tropical diseases (2024)
Our findings highlight the potential of applying machine learning to improve the sensitivity and effectiveness of Chagas disease diagnosis and prevention. Furthermore, we emphasize the importance of integrating socio-demographic and environmental factors into neglected disease prediction models to enhance their performance.