{"title":"基于同伴学习机制的智能关键字患者依从性管理系统的开发","authors":"Yin-Pin Yang, Tsai-Ya Lai","doi":"10.1109/HealthCom.2012.6380075","DOIUrl":null,"url":null,"abstract":"For each treatment plan, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords to navigate users to the target in-time knowledge and also leverage the collective power - peer learning to encourage patients. Three major components are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The development of a Patient Adherence Management System Applying Intelligent Keyword (PAMSIK) empowered by peer learning mechanism\",\"authors\":\"Yin-Pin Yang, Tsai-Ya Lai\",\"doi\":\"10.1109/HealthCom.2012.6380075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For each treatment plan, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords to navigate users to the target in-time knowledge and also leverage the collective power - peer learning to encourage patients. Three major components are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.\",\"PeriodicalId\":138952,\"journal\":{\"name\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HealthCom.2012.6380075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6380075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
对于每个治疗方案,患者依从性可以通过应用智能关键字(PAMSIK)的患者依从性管理系统进行管理,审核和改进,该系统使用智能关键字将用户导航到目标及时知识,并利用集体力量-同伴学习来鼓励患者。三个主要组件是:一个自主、智能、友好的用户行为收集器(User Behavior Collector),用于识别患者的个人依从性问题;一个患者相似性分析器(patient Similarity Analyzer),用于动态聚类同行;一个治疗服务调度员(Cure Service Dispatcher),用于推荐合适的治疗方法,从而向用户提供及时的服务和内容。
The development of a Patient Adherence Management System Applying Intelligent Keyword (PAMSIK) empowered by peer learning mechanism
For each treatment plan, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords to navigate users to the target in-time knowledge and also leverage the collective power - peer learning to encourage patients. Three major components are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.