移动健康信息服务的个性化运动目标决策研究  

Optimal goal setting in a personalized mobile health information service

作　　者：方霁 潘威旭 林徐勋 王海燕[1] FANG Ji;PAN Weixu;LIN Xuxun;WANG Haiyan(School of Economics and Management,Southeast University,Nanjing 210096,China;School of Economics and Management,Fuzhou University,Fuzhou 350116,China)

机构地区：[1]东南大学经济管理学院,江苏南京211189 [2]福州大学经济与管理学院,福建福州250116

出　　处：《管理工程学报》2024年第1期253-265,共13页Journal of Industrial Engineering and Engineering Management

基　　金：国家自然科学基金项目(72071042);国家自然科学基金重点项目(71531004)。

摘　　要：随着物联网技术在智能健康管理领域的不断发展,用户能够通过智能设备感知和监测个人健康状况,并借助移动设备实现与健康信息服务提供商的数据交互,生成个性化运动锻炼方案。在这种实时交互的健康干预服务中,健康信息服务提供商采用数据驱动的方法,适应性地调整为用户推送的个性化运动目标,目的是实现用户长期健康效用最大化和提升用户的服务满意度。为了研究最优的个性化运动推送目标,首先对研究问题进行界定,构建实时交互的个性化运动目标决策模型;随后针对问题中用户行为不确定的特点,采用深度强化学习算法,结合了离轨策略时序差分学习方法以及神经网络非线性拟合方法,从用户的历史数据中学习策略;最后使用Fitbit的真实数据集验证了所提方法的有效性。研究结果表明,基于深度强化学习的个性化运动目标推送服务,通过实时分析用户行为数据,对用户进行科学的引导和适时的激励,有助于帮助用户培养健康的生活方式,提高个人健康管理水平。Mobile health information services combine user physiological data and daily exercise information to help users achieve their fitness goals.Such services include Runkeeper,Trainingpeaks,and Strava.These services provide recommendations for short-term physical activity plans for their users,thereby improving their performance in these physical activities and enabling them to live a healthier life.For decades,wearable activity trackers and fitness applications have been widely adopted in these healthcare intervention programs,making it inexpensive and convenient for users to manage their health.Typically,mobile health information services record and visualize exercise activities through wearable trackers on their users and then deliver a set of recommendations for daily exercise through mobile applications.Mobile health information services are often used to support health promotion programs for physical activity and weight management.A growing number of people will likely manage their health using mobile health information services in the coming years in response to increasing health risks caused by the prevalence of obesity and sedentary lifestyle habits.Although mobile health services have excellent potential for their users to promote health and low operational costs based on the use of mobile devices,a significant challenge is to evaluate and optimize the process of health intervention.The reasons for inefficiency in mobile health services may be threefold.First,selecting effective daily exercise plans is difficult based on the heterogeneity of the physical characteristics,activity performance,and fitness demands of users.The most popular mobile health services push non-personalized and static activity plans to users.There is increasing evidence that such non-personalized and fixed daily exercise plans may result in unchanged or reduced physical activity.Second,the improvement of health depends on efforts made by the individual to implement daily exercise plans.However,individuals often have self-control probl

关 键 词：移动健康信息服务管理 个性化运动目标优化 实时交互模型 深度强化学习 

分 类 号：C934[经济管理—管理学]