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Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach
BACKGROUND: 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, and obesity) in develo...
Autores principales: | Khudri, Md. Mohsan, Rhee, Kang Keun, Hasan, Mohammad Shabbir, Ahsan, Karar Zunaid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180666/ https://www.ncbi.nlm.nih.gov/pubmed/37172042 http://dx.doi.org/10.1371/journal.pone.0277738 |
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