Establishing a machine learning model for predicting nutritional risk through facial feature recognition

BACKGROUND: Malnutrition affects many worldwide, necessitating accurate and timely nutritional risk assessment. This study aims to develop and validate a machine learning model using facial feature recognition for predicting nutritional risk. This innovative approach seeks to offer a non-invasive, e...

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Detalles Bibliográficos
Autores principales: Wang, Jingmin, He, Chengyuan, Long, Zhiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540841/
https://www.ncbi.nlm.nih.gov/pubmed/37781131
http://dx.doi.org/10.3389/fnut.2023.1219193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540841/
https://www.ncbi.nlm.nih.gov/pubmed/37781131
http://dx.doi.org/10.3389/fnut.2023.1219193

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