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一种用于遗传性代谢疾病患儿自我营养管理的智能监测系统:枫糖尿症(MSUD)。

A Smart Monitoring System for Self-Nutrition Management in Pediatric Patients with Inherited Metabolic Disorders: Maple Syrup Urine Disease (MSUD).

作者信息

Banjar Haneen Reda

机构信息

Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Centre of Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

出版信息

Healthcare (Basel). 2023 Jan 6;11(2):178. doi: 10.3390/healthcare11020178.

DOI:10.3390/healthcare11020178
PMID:36673545
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9859191/
Abstract

A metabolic disorder is due to a gene mutation that causes an enzyme deficiency which leads to metabolism problems. Maple Syrup Urine Disease (MSUD) is one of the most common and severe hereditary metabolic disorders in Saudi Arabia. Patients and families were burdened by complex and regular dietary therapy menus because of the lack of information on food labels, it was also difficult to keep track of MSUD's typical diet. The prototype smart plate system proposed in this work may help patients with MSUD and their caregivers better manage the patients' MSUD diet. The use of knowledge-based, food identification techniques and a device could provide a support tool for self-nutrition management in pediatric patients. The requirements of the system are specified by using questionaries. The design of the prototype is divided into two parts: software (mobile application) and hardware (3D model of the plate). The knowledge-based mobile application contains knowledge, databases, inference, food recognition, food plan, monitor food plan, and user interfaces. The hardware prototype is represented in a 3D model. All the patients agreed that a smart plate system connected to a mobile application could help to track and record their daily diet. A self-management application can help MSUD patients manage their diet in a way that is more pleasant, effortless, accurate, and intelligent than was previously possible with paper records. This could support dietetic professional practitioners and their patients to achieve sustainable results.

摘要

代谢紊乱是由基因突变导致酶缺乏引起的,进而引发代谢问题。枫糖尿症(MSUD)是沙特阿拉伯最常见且最严重的遗传性代谢紊乱疾病之一。由于食品标签缺乏相关信息,患者及其家庭负担着复杂且规律的饮食治疗菜单,跟踪MSUD的典型饮食也很困难。本研究中提出的智能餐盘系统原型可能有助于MSUD患者及其护理人员更好地管理患者的MSUD饮食。基于知识的食物识别技术和设备的使用可以为儿科患者的自我营养管理提供支持工具。通过问卷调查来明确系统的要求。该原型的设计分为两部分:软件(移动应用程序)和硬件(餐盘的3D模型)。基于知识的移动应用程序包含知识、数据库、推理、食物识别、食物计划、监测食物计划和用户界面。硬件原型以3D模型呈现。所有患者都认为连接到移动应用程序的智能餐盘系统有助于跟踪和记录他们的日常饮食。自我管理应用程序可以帮助MSUD患者以比以前使用纸质记录更愉快、轻松、准确和智能的方式管理饮食。这可以支持饮食专业从业者及其患者取得可持续的成果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/bc2c4d64d2dd/healthcare-11-00178-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/ffe299958f48/healthcare-11-00178-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/b7b2088a5965/healthcare-11-00178-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/b14069722baf/healthcare-11-00178-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/bc2c4d64d2dd/healthcare-11-00178-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/ffe299958f48/healthcare-11-00178-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/b7b2088a5965/healthcare-11-00178-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/b14069722baf/healthcare-11-00178-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/9859191/bc2c4d64d2dd/healthcare-11-00178-g004.jpg

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本文引用的文献

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Pregnancy in an adolescent with maple syrup urine disease: Case report.一名患有枫糖尿症的青少年怀孕:病例报告。
Mol Genet Metab Rep. 2021 Mar 26;27:100745. doi: 10.1016/j.ymgmr.2021.100745. eCollection 2021 Jun.
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Prevalence of metabolic syndrome in Saudi Arabia - a cross sectional study.沙特阿拉伯代谢综合征患病率——一项横断面研究
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Appl Clin Genet. 2017 Sep 6;10:57-66. doi: 10.2147/TACG.S125962. eCollection 2017.
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FOOD IMAGE ANALYSIS: SEGMENTATION, IDENTIFICATION AND WEIGHT ESTIMATION.食品图像分析:分割、识别与重量估计。
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The case for diet: a safe and efficacious strategy for secondary stroke prevention.饮食疗法:一种安全有效的二级卒中预防策略。
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