Personal Dynamic Healthcare System Utilizing Mobile Phone and Web technologies

利用移动电话和网络技术的个人动态医疗保​​健系统

• 批准号: 16500457
• 负责人: TAKEUCHI Hiroshi
• 金额: $ 2.37万
• 依托单位: Takasaki University of Health and Welfare
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2004
• 资助国家: 日本
• 起止时间: 2004 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-16500457/
• 关键词: Personal healthcare system; Mobile phone; Web technology; Healthcare data mining; Association rule mining; Lifestyle data; Health data; 生活習慣データ; 健康データ; インターネット; 生活習慣

2004Personal dynamic healthcare system utilizing mobile phone and web technologies was developed for preventing diseases and improving wellness. In this system, daily health and lifestyle data inputted through a mobile phone are transferred to a web application server via the Internet. A web application server provides data archiving and reference services visualizing health and lifestyle data graphically on a mobile phone display, and a data mining service notifying users some important rules between health data and lifestyle data.2005Automated healthcare-data-mining processes, which extract rules correlating health and lifestyle data, were studied. The concept behind healthcare data mining is extracting personally useful information, such as rules and patterns concerning lifestyles and health conditions, embedded in daily time-series personal health and lifestyle data. These data were stored on a developed personal dynamic healthcare system utilizing mobile phone and web technologies. An automated healthcare-data mining for the stored time-series data of volunteer users generated some useful rules correlating lifestyles with blood pressure and body-fat index.2006The healthcare-data-mining presented here extracts personally useful information, such as rules and patterns concerning lifestyles and health conditions, from daily time-series personal health and lifestyle data stored on a personal dynamic healthcare system by using mobile phone and web technologies. This year, studies focused on time-series data analyses in the healthcare-data-mining process. Interesting results concerning the relation between lifestyles (soybean protein ingestion, energy expenditure due to exercise, ingestion at meal) and health conditions (body-fat percentage, basal metabolism, blood pressure) were obtained.

2004年开发了利用移动电话和网络技术的个人动态医疗保​​健系统，用于预防疾病和改善健康。在该系统中，通过手机输入的日常健康和生活方式数据通过互联网传输到网络应用服务器。 Web 应用程序服务器提供数据归档和参考服务，在移动电话显示屏上以图形方式可视化健康和生活方式数据，并提供数据挖掘服务，通知用户健康数据和生活方式数据之间的一些重要规则。2005年自动化医疗保健数据挖掘流程，可提取规则研究了相关的健康和生活方式数据。医疗保健数据挖掘背后的概念是提取对个人有用的信息，例如嵌入在每日时间序列个人健康和生活方式数据中的有关生活方式和健康状况的规则和模式。这些数据存储在利用移动电话和网络技术开发的个人动态医疗保​​健系统中。对存储的志愿者用户时间序列数据进行自动医疗保健数据挖掘，生成了一些将生活方式与血压和体脂指数相关联的有用规则。2006这里介绍的医疗保健数据挖掘提取了个人有用的信息，例如有关以下方面的规则和模式：生活方式和健康状况，来自使用移动电话和网络技术存储在个人动态医疗保​​健系统上的每日时间序列个人健康和生活方式数据。今年的研究重点是医疗保健数据挖掘过程中的时间序列数据分析。关于生活方式（大豆蛋白摄入量、运动引起的能量消耗、进餐摄入量）与健康状况（体脂百分比、基础代谢、血压）之间的关系，获得了有趣的结果。

项目成果

HEALTHCARE DATA MINING BASED ON A PERSONAL DYNAMIC HEALTHCARE SYSTEM

基于个人动态医疗保​​健系统的医疗保健数据挖掘

• 发表时间: 2005
• 期刊: Proc. 2^<nd> Int. Conf. on Computational Intelligence in Medicine and Healthcare
• 作者: 竹内裕之;他3名;竹内裕之;H.Takeuchi;H.Takeuchi et al.
• 通讯作者: H.Takeuchi et al.

個人健康管理システムに基づく健康データと生活習慣データの相関ルール解析 (H)

基于个人健康管理系统的健康数据与生活方式数据关联规则分析（H）

• 发表时间: 2007
• 期刊: 高崎健康福祉大学紀要 第6号
• 作者: Sato Y;Ohno H;竹内裕之
• 通讯作者: 竹内裕之

個人健康管理システム

个人健康管理系统

• 发表时间: 2006

栄養素算出方法およびそのシステム

养分计算方法及系统

• 发表时间: 2005

Automated Healthcare Data Mining Based on a Personal Dynamic Healthcare System

基于个人动态医疗系统的自动化医疗数据挖掘

• 发表时间: 2006
• 期刊: Proc. 28^<th> IEEE EMBS Annual International Conference
• 作者: Takeshi Ueda;Kazunari Ishihara;Tomoki Shono;Tetsuro Ogaki;Noboru Hotta;H.Takeuchi
• 通讯作者: H.Takeuchi