National data meets AI: Machine learning for predicting overweight/obesity among ever-married Bangladeshi women.

ABSTRACT: Overweight/obesity has become a critical global health issue, as these conditions are strongly associated with elevated risk of diabetes, stroke, cardiovascular disorders, and certain types of cancer. In recent decades, Bangladesh has faced a notable rise in overweight/obesity prevalence-women are more prone to obesity than men. This study presents a comprehensive strategy for identifying risk factors and predicting overweight and obesity through machine learning (ML) classifiers among ever-married Bangladeshi women aged 15-49 years. Data from the 2017-2018 BDHS, a nationally representative survey, were examined. The data were pre-processed and subsequently balanced using the synthetic minority over-sampling technique and edited nearest neighbors (SMOTE-ENN) approach. Various feature ident

SUBMITTER: Biswas S 

PROVIDER: S-EPMC12863505 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature