Connected-Health Algorithm: Development and Evaluation

作     者：Vlahu-Gjorgievska, Elena Koceski, Saso Kulev, Igor Trajkovik, Vladimir 

作者机构：Univ St Kliment Ohridski Fac Informat & Commun Technol Bitola Macedonia Univ Goce Delcev Fac Comp Sci Stip Macedonia Univ Ss Cyril & Methodious Fac Comp Sci & Engn Skopje Macedonia 

出 版 物：《JOURNAL OF MEDICAL SYSTEMS》 (J. Med. Syst.)

年 卷 期：2016年第40卷第4期

页      面：109-109页

核心收录：

学科分类：1204[管理学-公共管理] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

主　　题：Healthcare information system Connected health Collaborative algorithms e-Health Recommendations 

摘      要：Nowadays, there is a growing interest towards the adoption of novel ICT technologies in the field of medical monitoring and personal health care systems. This paper proposes design of a connected health algorithm inspired from social computing paradigm. The purpose of the algorithm is to give a recommendation for performing a specific activity that will improve user s health, based on his health condition and set of knowledge derived from the history of the user and users with similar attitudes to him. The algorithm could help users to have bigger confidence in choosing their physical activities that will improve their health. The proposed algorithm has been experimentally validated using real data collected from a community of 1000 active users. The results showed that the recommended physical activity, contributed towards weight loss of at least 0.5 kg, is found in the first half of the ordered list of recommendations, generated by the algorithm, with the probability 0.6 with 1 % level of significance.