Development of deep-learning tool to predict appropriate height and weight from chest radiographs in bedridden patients

Development of deep-learning tool to predict appropriate height and weight from chest radiographs in bedridden patients

Summary: Background & Aims: Malnutrition in the elderly, frequently and significantly affects both physical functioning and cognition, as well as incurs direct and indirect costs to society. Guidelines recommend rapid nutritional intervention and initiation of nutritional therapy within 24–...

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Bibliographic Details
Main Authors: Yasuhiko Nakao, Ryo Sasaki, Fumihiro Mawatari, Kotaro Harakawa, Minoru Okita, Norisato Mitsutake, Kazuhiko Nakao
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Clinical Nutrition Open Science
Subjects:
Height
Weight
Body mass index
Bedridden patients
Deep learning
Chest radiograph
Online Access:http://www.sciencedirect.com/science/article/pii/S2667268523000396

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http://www.sciencedirect.com/science/article/pii/S2667268523000396

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