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

BackgroundMalnutrition 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, eff...

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Bibliographic Details
Main Authors: Jingmin Wang, Chengyuan He, Zhiwen Long
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2023.1219193/full