Choi Junho, Choi Chang, Ko Hoon, Kim Pankoo
Division of Undeclared Majors, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, Republic of Korea.
Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, Republic of Korea.
J Med Syst. 2016 Aug;40(8):188. doi: 10.1007/s10916-016-0534-1. Epub 2016 Jun 28.
Recently, there have been many studies of health services combined with smart devices, gathering a user' health lifelog and managing his or her health for the improvement of the quality of his or her life, using various sensors. However, previous works have problems in the extraction of patterns in person's complex health lifelog, the analysis of complex relations among those patterns, the extension of them to related services, and reuse of lifelog patterns. The healthcare lifelogs should search efficiently data necessary for users from big data because those gather real-time data of various types of data. The healthcare lifelogs should search efficiently data necessary for users from big data because those gather real-time data of various types of data. In this paper, we propose the intelligent healthcare service for reasoning personal health state with data extraction, pattern analysis, health life ontology modeling using health lifelog analysis based on smart devices. The proposed health information service provided more and more appropriate service with users if more reasoning rules related to more and various healthcare lifelog information gathering are included in the service.
最近，有许多关于将健康服务与智能设备相结合的研究，利用各种传感器收集用户的健康生活日志并管理其健康状况，以提高其生活质量。然而，先前的工作在提取个人复杂健康生活日志中的模式、分析这些模式之间的复杂关系、将其扩展到相关服务以及重用生活日志模式方面存在问题。医疗保健生活日志应该从大数据中高效地搜索用户所需的数据，因为它们收集各种类型的实时数据。在本文中，我们提出了一种智能医疗服务，通过基于智能设备的健康生活日志分析进行数据提取、模式分析、健康生活本体建模，以推断个人健康状况。如果该服务中包含更多与更多样化的医疗保健生活日志信息收集相关的推理规则，那么所提出的健康信息服务就能为用户提供越来越合适的服务。
