Machine learning for predicting Chagas disease infection in rural areas of Brazil

ConclusionOur 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.
Source: PLoS Neglected Tropical Diseases - Category: Tropical Medicine Authors: Source Type: research