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Author

H. M. Shahadat Ali

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Open access Aug 2026

Predicting households risks of waterborne diseases in flood-affected areas using machine learning: A study of Noakhali and Feni, Bangladesh

Waterborne diseases remain a major public health challenge, especially in low- and middle-income countries like Bangladesh. This study aimed to identify household level predictors of waterborne diseases and develop an optimized, explainable machine learning framework for predicting disease risk in flood-affected comm...

M. Miah, Kabir Hossain, Hafiz T. A. Khan et al. · 0 citations

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