Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach.

Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach.

<h4>Background</h4>Malnutrition imposes enormous costs resulting from lost investments in human capital and increased healthcare expenditures. There is a dearth of research focusing on the prediction of women's body mass index (BMI) and malnutrition outcomes (underweight, overweight...

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Bibliographic Details
Main Authors: Md Mohsan Khudri, Kang Keun Rhee, Mohammad Shabbir Hasan, Karar Zunaid Ahsan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0277738

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