Dep. of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Italy.
Nephrology and Dialysis Unit, University Magna Græcia of Catanzaro, Italy.
Comput Methods Programs Biomed. 2018 Jan;153:93-104. doi: 10.1016/j.cmpb.2017.10.014. Epub 2017 Oct 12.
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.
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.
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 is not intended to be used by general users, but only for review purpose.
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.
目前，移动和基于网络的应用程序在饮食和体重管理方面的使用正在增加。然而，到目前为止，还没有很好地描述已知应用程序对临床结果的影响。此外，为健康人群和饮食相关慢性疾病患者提供高质量营养建议的食物推荐系统非常有限。此外，还没有发挥典型地区食物的营养特性潜力来提高应用程序的实用性。我们提出了 DIETOS，这是一个推荐系统，用于自适应地提供营养内容，以提高健康人群和饮食相关慢性疾病患者的生活质量。DIETOS 根据用户在不同健康状况下的回答提供高度专业化的营养建议。
DIETOS 旨在为用户提供健康档案和个性化的营养建议。健康档案是基于用户对动态实时医学问卷的回答建立的。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。由于几种卡拉布里亚食物的营养特性在多项质量研究中得到广泛报道，因此将它们列入其中。DIETOS 包含一些来自通用自适应 Web 系统的用于用户档案（覆盖档案）和内容适配（内容选择）的知名方法。
DIETOS 已针对可用性进行了验证，既适用于患者也适用于专家，并且通过在卡拉布里亚大学医院肾脏病和透析科招募了 20 名慢性肾脏病（CKD）患者和 20 名年龄匹配的健康对照组来评估档案和推荐的正确性。受邀的受试者被邀请注册 DIETOS 并回答医学问题以确定他们的健康状况。根据我们的结果，DIETOS 具有高特异性和灵敏度，能够确定医学控制用户的健康档案，并执行更适合每个用户健康状况的精细推荐。目前版本的 DIETOS 可在线访问，网址为 http://www.easyanalysis.it/dietos，仅供查看目的，不适用于一般用户。
DIETOS 是一种针对健康人群和饮食相关慢性疾病患者的新型食物推荐系统。该系统构建了用户的健康档案，并相应地提供个性化的营养建议，同时还关注食物的地理来源。
