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Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study
BACKGROUND: An accurate evaluation of the nutritional status of malnourished hospitalized patients at a higher risk of complications, such as frailty or disability, is crucial. Visual methods of estimating food intake are popular for evaluating the nutritional status in clinical environments. Howeve...
Autores principales: | Tagi, Masato, Tajiri, Mari, Hamada, Yasuhiro, Wakata, Yoshifumi, Shan, Xiao, Ozaki, Kazumi, Kubota, Masanori, Amano, Sosuke, Sakaue, Hiroshi, Suzuki, Yoshiko, Hirose, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131145/ https://www.ncbi.nlm.nih.gov/pubmed/35536638 http://dx.doi.org/10.2196/35991 |
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