{"title":"Toward Personalized Treatment of Chronic Diseases: The CKDCase Study","authors":"Chih-Yang Chen, Chun-Nan Chou, I. Wu","doi":"10.1145/3132635.3132646","DOIUrl":null,"url":null,"abstract":"Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"89 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3132635.3132646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
