利用基于电子健康记录数据的两步互联机器学习模型高效管理肺栓塞诊断

{"title":"利用基于电子健康记录数据的两步互联机器学习模型高效管理肺栓塞诊断","authors":"Soroor Laffafchi, Ahmad Ebrahimi, Samira Kafan","doi":"10.1007/s13755-024-00276-9","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":"132 32","pages":"1-17"},"PeriodicalIF":5.5000,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data\",\"authors\":\"Soroor Laffafchi, Ahmad Ebrahimi, Samira Kafan\",\"doi\":\"10.1007/s13755-024-00276-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":\"132 32\",\"pages\":\"1-17\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2024-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s13755-024-00276-9\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s13755-024-00276-9","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}