Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.
<h4>Introduction</h4>Hypertension is a leading contributor to maternal and cardiometabolic morbidity in Bangladesh. We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screen...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | Novel Chandra Das, Probir Kumar Ghosh, Md Alamgir Hossain, Uddip Acharjee Shuvo, Nipa Rani Talukder, Fatema Khatun, Mohammad Ziaul Islam Chowdhury |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Online Access: | https://doi.org/10.1371/journal.pone.0335442 |
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