基于人工智能技术的肥胖自我管理移动应用平台的开发

IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES International Journal of Telemedicine and Applications Pub Date : 2021-08-27 eCollection Date: 2021-01-01 DOI:10.1155/2021/6624057
Sylvester M Sefa-Yeboah, Kwabena Osei Annor, Valencia J Koomson, Firibu K Saalia, Matilda Steiner-Asiedu, Godfrey A Mills
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引用次数: 4

摘要

肥胖是一项重大的全球健康挑战,也是导致包括心脏病、中风、糖尿病和几种癌症在内的主要死亡原因的风险因素。管理和调节肥胖的尝试导致了各种饮食监管举措的实施,以提供有关膳食卡路里含量的信息。虽然卡路里含量的知识对膳食计划是有用的,但这是不够的,因为其他因素,包括健康状况(糖尿病、高血压等)和体育活动水平,在肥胖管理的决策过程中是必不可少的。在这项工作中,我们提出了一种基于人工智能(AI)的应用程序,该应用程序由遗传算法(GA)驱动,作为跟踪用户能量平衡和预测满足肥胖管理每日卡路里需求所需的可能卡路里摄入量的潜在工具。该算法从数据库中选择用户的所需食物输入信息,并提取用户的胆固醇水平、糖尿病状况和身体活动水平记录,以预测满足用户需求所需的可能膳食。食物中微量和宏量营养素的含量用于计算和预测满足每日热量需求所需的潜在食物。使用来自加纳大学的30名志愿者样本对模型的功能和性能进行了测试。结果表明,该模型能够根据使用者的情况以及宏量和微量营养素的需求预测升糖和非升糖食物。此外,该系统能够充分跟踪用户随着时间的推移减肥的进展、每日营养需求、每日卡路里摄入量,以及为避免损害健康而必须采取的膳食预测。该系统可为个人、营养师和其他健康管理人员提供有用的资源,用于管理肥胖、患者,以及在营养学和消费者科学领域培训学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques.

Obesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity, are essential in the decision process for obesity management. In this work, we present an artificial intelligence- (AI-) based application that is driven by a genetic algorithm (GA) as a potential tool for tracking a user's energy balance and predicting possible calorie intake required to meet daily calorie needs for obesity management. The algorithm takes the users' input information on desired foods which are selected from a database and extracted records of users on cholesterol level, diabetes status, and level of physical activity, to predict possible meals required to meet the users need. The micro- and macronutrients of food content are used for the computation and prediction of the potential foods required to meet the daily calorie needs. The functionality and performance of the model were tested using a sample of 30 volunteers from the University of Ghana. Results revealed that the model was able to predict both glycemic and non-glycemic foods based on the condition of the user as well as the macro- and micronutrients requirements. Moreover, the system is able to adequately track the progress of the user's weight loss over time, daily nutritional needs, daily calorie intake, and predictions of meals that must be taken to avoid compromising their health. The proposed system can serve as a useful resource for individuals, dieticians, and other health management personnel for managing obesity, patients, and for training students in fields of dietetics and consumer science.

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来源期刊
CiteScore
6.90
自引率
2.30%
发文量
19
审稿时长
12 weeks
期刊介绍: The overall aim of the International Journal of Telemedicine and Applications is to bring together science and applications of medical practice and medical care at a distance as well as their supporting technologies such as, computing, communications, and networking technologies with emphasis on telemedicine techniques and telemedicine applications. It is directed at practicing engineers, academic researchers, as well as doctors, nurses, etc. Telemedicine is an information technology that enables doctors to perform medical consultations, diagnoses, and treatments, as well as medical education, away from patients. For example, doctors can remotely examine patients via remote viewing monitors and sound devices, and/or sampling physiological data using telecommunication. Telemedicine technology is applied to areas of emergency healthcare, videoconsulting, telecardiology, telepathology, teledermatology, teleophthalmology, teleoncology, telepsychiatry, teledentistry, etc. International Journal of Telemedicine and Applications will highlight the continued growth and new challenges in telemedicine, applications, and their supporting technologies, for both application development and basic research. Papers should emphasize original results or case studies relating to the theory and/or applications of telemedicine. Tutorial papers, especially those emphasizing multidisciplinary views of telemedicine, are also welcome. International Journal of Telemedicine and Applications employs a paperless, electronic submission and evaluation system to promote a rapid turnaround in the peer-review process.
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