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Prediction of Childhood Diarrhea in Bangladesh using Machine Learning Approach
2020
Insights of Biomedical Research
Diarrhea has remained a major health problem among under-five (U5) children that leads high level of morbidity and mortality. This study is to determine the socio-demographic risk factors of diarrhea as well as predict of diarrhea status using machine learning (ML) based approach among U5 children in Bangladesh. Bangladesh Demographic and Health Survey, 2014 dataset is used in this study. This dataset consisted of 7,538 respondents who had 371 (4.9%) child's diarrhea. Logistic regression (LR)
doi:10.36959/584/456
fatcat:5ey56tf7q5au3pbkejcaya4msi