Christine Shuyu Xu, Blake Anderson, J. Armer, C. Shyu
{"title":"Improving disease management through a mobile application for lymphedema patients","authors":"Christine Shuyu Xu, Blake Anderson, J. Armer, C. Shyu","doi":"10.1109/HealthCom.2012.6379422","DOIUrl":null,"url":null,"abstract":"Breast cancer-related lymphedema (LE) is one type of incurable progressive chronic disease caused by cancer treatment or surgery that damages a patient's lymphatic system. Many patients are unaware of available treatment and places to seek for help with LE. This paper introduces a framework for a mobile application package for LE patients or patients at-risk to 1) locate available trained therapists using embedded Google Map technology; 2) monitor disease progression using profile match and rules mining; and 3) acquire up-to-date LE research findings based on patient characteristics. It aims to increase patients' accessibility to available resources and improve patient's quality of life by a mHealth-driven disease management approach.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","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.2012.6379422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Breast cancer-related lymphedema (LE) is one type of incurable progressive chronic disease caused by cancer treatment or surgery that damages a patient's lymphatic system. Many patients are unaware of available treatment and places to seek for help with LE. This paper introduces a framework for a mobile application package for LE patients or patients at-risk to 1) locate available trained therapists using embedded Google Map technology; 2) monitor disease progression using profile match and rules mining; and 3) acquire up-to-date LE research findings based on patient characteristics. It aims to increase patients' accessibility to available resources and improve patient's quality of life by a mHealth-driven disease management approach.