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...

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Detalles Bibliográficos
Autores principales: Khudri, Md. Mohsan, Rhee, Kang Keun, Hasan, Mohammad Shabbir, Ahsan, Karar Zunaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
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

Internet

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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