Towards Health Recommendation Systems: An Approach for Providing Automated Personalized Health Feedback from Mobile Data
Towards Health Recommendation Systems: An Approach for Providing Automated Personalized Health Feedback from Mobile Data
复制标题
迈向健康推荐系统：一种通过移动数据提供自动个性化健康反馈的方法
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Tanzeem Choudhury
中科院分区：
文献类型：
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作者：
Mashfiqui Rabbi;M. Aung;Tanzeem Choudhury
近年来，使用智能手机获取个人数据变得更加强大和可实现：用户界面的改进使手动输入变得更加直接和直观，而传感技术的进步使跟踪变得更加准确和不那么引人注目。此外，数据挖掘和机器学习方面的算法进步导致更好地解释和确定健康状况和结果的因素。然而，在向用户或卫生工作者提供反馈时，这些指标仍未得到充分利用。能够利用这些指标的移动保健系统可能会根据用户的情况提供个性化的精确反馈，并有助于提高依从性和提高疗效。在这本书的章节中，我们将概述移动健康反馈系统的最新发展，然后讨论MyBehavior，这是一个利用个人数据流和指示器的反馈系统的例子。MyBehavior是第一个基于智能手机获取的体力活动和饮食数据提供有益健康建议的个性化系统。该系统从活动和饮食记录中学习常见的健康和不健康行为，然后对类似于现有行为的行为进行优先排序并提出建议。这样的优先顺序是为了促进对建议的熟悉感，并增加采纳的可能性。我们还为类似于MyBehavior的未来系统制定了一个基本框架，并讨论了在迁移和适应方面的挑战。
Personal data acquisition using smartphones has become robust and achievable in recent times: improvements in user interfaces have made manual inputting more straightforward and intuitive, while advances in sensing technology has made tracking more accurate and less obtrusive. Moreover, algorithmic advances in data mining and machine learning has led to better a interpretation and determination factors indicative of health conditions and outcomes. However, these indicators are still under-utilized when providing feedback to the user or a health worker. Mobile health systems that can exploit such indicators could potentially deliver precision feedback personalized to the user’s condition and also lead to increases in adherence and improve efficacy. In this book chapter, we will provide an overview of the state of the art in mobile health feedback systems and then discuss MyBehavior, an example of a feedback system that utilizes individual data streams and indicators. MyBehavior is the first personalized system that provides health beneficial recommendations based on physical activity and dietary data acquired using smartphones. The system learns common healthy and unhealthy behaviors from activity and dietary logs, and then prioritizes and suggests actions similar to existing behaviors. Such prioritization is done to promote a sense of familiarity to the suggestions and increase the likelihood of adoption. We also formulate a basis framework for future systems similar to MyBehavior and discuss challenges with regard to transference and adaptation.
一项评估老年人体力活动的调查。
影响因子：
4.1
作者：
Dipietro,L;Caspersen,CJ;Ostfeld,AM;Nadel,ER
通讯作者：
Nadel,ER
影响因子：
3.9
作者：
Lally, Phillippa;Van Jaarsveld, Cornelia H. M.;Wardle, Jane
通讯作者：
Wardle, Jane