Leveraging explainable artificial intelligence and spatial analysis for communicable diseases in Asia (2000–2022) based on health, climate, and socioeconomic factors

Abstract Background Communicable diseases remain a significant public health challenge in Asia, driven by diverse climatic, socioeconomic, and healthcare-related factors. Despite reductions in diseases such as tuberculosis and malaria, persistent hotspots highlight the need for deeper investigation....

ver descrição completa

Detalhes bibliográficos

Principais autores:	Md. Siddikur Rahman, Md. Abu Bokkor Shiddik
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-12-01
Colecção:	International Journal of Health Geographics
Assuntos:	Communicable diseases Explainable AI (XAI) Machine learning models Hotspot identification SHAP (Shapley additive explanations)
Acesso em linha:	https://doi.org/10.1186/s12942-025-00433-7
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!