DIETOS: A dietary recommender system for chronic diseases monitoring and management
DIETOS: A dietary recommender system for chronic diseases monitoring and management
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DOI：
10.1016/j.cmpb.2017.10.014
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发表时间：
2018-01-01
影响因子：
6.1
通讯作者：
Cannataro, Mario
中科院分区：
文献类型：
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作者：
Agapito, Giuseppe;Simeoni, Mariadelina;Cannataro, Mario
背景与目的：目前，用于饮食和体重管理的移动及网络应用程序的使用正在增加。然而，到目前为止，已知应用程序对临床结果的影响尚未得到很好的描述。此外，为健康人群和饮食相关慢性病患者提供高质量营养建议的食物推荐系统非常有限。另外，典型地方食物的营养特性在提高应用程序实用性方面的潜力尚未得到发挥。我们介绍DIETOS，这是一个用于自适应提供营养内容以提高健康受试者和饮食相关慢性病患者生活质量的推荐系统。DIETOS在不同健康状况下提供高度专业的营养建议。
方法：DIETOS旨在为用户提供健康状况描述和个性化营养建议。健康状况描述基于用户对动态实时医学调查问卷的回答。此外，DIETOS包含来自意大利南部卡拉布里亚地区的典型食物目录。由于一些卡拉布里亚食物的营养特性在多项高质量研究中被广泛报道，所以将它们纳入其中。DIETOS包括一些来自通用自适应网络系统的用于用户描述（覆盖描述）和内容适配（内容选择）的知名方法。
结果：通过在意大利卡坦扎罗大学医院肾病与透析科招募20名慢性肾脏病（CKD）患者以及20名年龄匹配的健康对照者，对DIETOS的可用性（针对患者和专家）以及评估描述和建议的正确性进行了验证。招募的受试者被邀请注册DIETOS并回答医学问题以确定其健康状况。根据我们的结果，DIETOS具有高特异性和敏感性，能够确定受医学控制的用户健康状况描述，并进行更适合每个用户健康状况的精细推荐。DIETOS的当前版本可在http://www.easyanalysis.it/dietos在线获取，但不打算供普通用户使用，仅用于审查目的。
结论：DIETOS是一种针对健康人群和受饮食相关慢性病影响的个体的新型食物推荐系统。所提出的系统构建用户健康状况描述，并相应地提供个性化营养建议，同时也关注食物的地理来源。（C）2017爱思唯尔B.V.保留所有权利。
Background and objective: Use of mobile and web-based applications for diet and weight management is currently increasing. However, the impact of known apps on clinical outcomes is not well-characterized so far. Moreover, availability of food recommender systems providing high quality nutritional advices to both healthy and diet-related chronic diseases users is very limited. In addition, the potentiality of nutraceutical properties of typical regional foods for improving app utility has not been exerted to this end. We present DIETOS, a recommender system for the adaptive delivery of nutrition contents to improve the quality of life of both healthy subjects and patients with diet-related chronic diseases. DIETOS provides highly specialized nutritional advices in different health conditions.Methods: DIETOS was projected to provide users with health profile and individual nutritional recommendation. Health profiling was based on user answers to dynamic real-time medical questionnaires. Furthermore, DIETOS contains catalogs of typical foods from Calabria, a southern Italian region. Several Calabrian foods have been inserted because of their nutraceutical properties widely reported in several quality studies. DIETOS includes some well known methods for user profiling (overlay profiling) and content adaptation (content selection) coming from general purpose adaptive web systems.Results: DIETOS has been validated for usability for both patients and specialists and for assessing the correctness of the profiling and recommendation, by enrolling 20 chronic kidney disease (CKD) patients at the Department of Nephrology and Dialysis, University Hospital, Catanzaro (Italy) and 20 age-matched healthy controls. Recruited subjects were invited to register to DIETOS and answer to medical questions to determine their health status. Based on our results, DIETOS has high specificity and sensitivity, allowing to determine a medical-controlled user's health profile and to perform a fine-grained recommendation that is better adapted to each user health status. The current version of DIETOS, available online at http://www.easyanalysis.it/dietos isnotintendedtobeusedbygeneralusers, butonlyforreviewpurpose.Conclusions: DIETOS is a novel food recommender system for healthy people and individuals affected by diet-related chronic diseases. The proposed system builds a users health profile and, accordingly, provides individualized nutritional recommendations, also with attention to food geographical origin. (C) 2017 Elsevier B.V. All rights reserved.