Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province

BackgroundBacterial dysentery (BD) is a leading cause of diarrhea-related mortality globally, with its incidence heavily influenced by environmental factors. However, a climate zone-specific predictive model for BD was currently lacking in Sichuan Province.ObjectiveThis study aims to employ interpre...

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Bibliographic Details

Published in:	Frontiers in Public Health
Main Authors:	Yao Zhang, Qiao-Lin Wang, Wei Peng, Meng-Yuan Zhang, Yao Qin, Lun Zhang, Rong-Jie Wei, Dian-Ju Kang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Subjects:	bacterial dysentery climate zones environmental characteristics XGBoost SHAP
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2025.1598247/full