A Personalized Recommendation System to Support Diabetes Self-Management for American Indians
A Personalized Recommendation System to Support Diabetes Self-Management for American Indians
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DOI：
10.1109/access.2018.2882138
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发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
Pandey, Vikram
中科院分区：
文献类型：
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作者：
Alian, Shadi;Li, Juan;Pandey, Vikram
糖尿病在美国印第安人(AI)社区的流行是一个严重的公共卫生挑战。随着体重的增加和体力活动的减少，糖尿病的发病率和流行率急剧增加。在本文中，我们提出了一个专门针对AI患者的主动式糖尿病自我护理推荐系统。它向用户推荐健康的生活方式，为他们的糖尿病而战。由于手机在大多数AI部落中的使用近乎无处不在，我们选择手机作为为AI患者提供智能个人护理的平台。通过将AI用户的本体简档与一般的临床糖尿病推荐和指南相结合，该系统可以根据特殊的社会经济、文化和地理状况，特别是针对AI患者，做出个性化的建议(例如，食物摄入量和体力锻炼)。拟议的系统是作为移动应用程序实施的。通过用例研究和人类专家核查进行的评估证明了该系统的有效性。
The epidemic of diabetes in American Indian (AI) communities is a serious public health challenge. The incidence and prevalence of diabetes have increased dramatically with accompanying increases in body weight and diminished physical activity. In this paper, we propose a proactive diabetes self-care recommendation system specifically for AI patients. It recommends healthy life style to users to fight for their diabetes. Thanks to the quasi-ubiquitous use of cellphones in most AI tribes, we choose cellphones as the platform to provide smart personal care for AI patients. By integrating the AI users' ontological profile with general clinical diabetes recommendation and guidelines, the system can make personalized recommendations (e.g., food intake and physical workout) based on the special socioeconomic, cultural, and geographical status particularly to AI patients. The proposed system was implemented as mobile applications. Evaluations performed by use case studies and human expert verification demonstrate the effectiveness of the system.