Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals : Validation Study

• Material Type: 博士論文
• Title: Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals : Validation Study
• Author/Editor: 田木, 真和; タジリ, マリ; 濵田, 康弘; 若田, 好史; 単, 暁; 尾崎, 和美; クボタ, マサノリ; アマノ, ソウスケ; 阪上, 浩; 鈴木, 佳子; 廣瀬, 隼
• Author Heading: 田木, 真和; タジリ, マリ タジリ, マリ; 濵田, 康弘; 若田, 好史 ワカタ, ヨシフミ; 単, 暁; 尾崎, 和美; クボタ, マサノリ クボタ, マサノリ; アマノ, ソウスケ アマノ, ソウスケ; 阪上, 浩; 鈴木, 佳子 スズキ, ヨシコ; 廣瀬, 隼
• Publication, Distribution, etc.: JMIR Publications
• Publication Date: 2022-05-10
• Publication Date (W3CDTF): 2022-05-10
• Alternative Title: 人工知能を用いた病院流動食の残量推定の精度 : 検証研究
• Periodical title: JMIR Formative Research
• No. or year of volume/issue: 6 5
• Volume: 6
• Issue: 5
• Pages: e35991-
• ISSN (Periodical Title): ISSN : 2561326X
• Dissertation Number: 甲医第1555号
• Text Language Code: und
• Subject Heading: artificial intelligence; convolutional neural network; food intake; liquid food; nutrition management; neural network; machine learning; malnourished; malnourishment; model; hospital; patient; nutrition; food consumption; dietary intake; diet
• Target Audience: 一般
• Format (IMT): application/pdf
• Source: fulltext; https://tokushima-u.repo.nii.ac.jp/record/2010359/files/k3690_fulltext.pdf
• Access Restrictions: インターネット公開
• Rights (production): This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 徳島大学 : 徳島大学機関リポジトリ

• Summary, etc.: Background: An accurate evaluation of the nutritional status of malnourished hospitalized patients at a higher risk of complications, such as frailty ...