Articles
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May 31, 2023 |
frontiersin.org | SOFIA DIAS |Anna Kiss |Rizwan A. Qureshi
Jingmin Wang1 Chengyuan He2* Zhiwen Long2 1College of International Engineering, Xi’an University of Technology, Xi’an, China 2Recovery Plus Clinic, Chengdu, China 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.
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