{"title":"Inpatients suffering from alcoholism automatically identified by electronic phenotyping","authors":"Alexandra N Griessbach, E. Battegay, P. Beeler","doi":"10.4414/SMI.34.00415","DOIUrl":null,"url":null,"abstract":"The authors developed an algorithm that automatically detects stays of AUD patients in structured clinical data.","PeriodicalId":156842,"journal":{"name":"Swiss medical informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swiss medical informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4414/SMI.34.00415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The authors developed an algorithm that automatically detects stays of AUD patients in structured clinical data.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
