首页> JMIR medical informatics> Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.

导出 LinkOut

翻译打印收藏纠错

第一作者： Nansu,Zong

第一单位： Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.

作者： Nansu,Zong ^[1] ; Victoria,Ngo ^[2] ; Daniel J,Stone ^[1] ; Andrew,Wen ^[1] ; Yiqing,Zhao ^[1] ; Yue,Yu ^[1] ; Sijia,Liu ^[1] ; Ming,Huang ^[1] ; Chen,Wang ^[1] ; Guoqian,Jiang ^[1]

作者单位： Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States. ^[1] University of California Davis Health, Sacramento, CA, United States. ^[2]

关键词 FHIR Fast Healthcare Interoperability Resources RDF Resource Description Framework electronic health records genetic reports predicting primary cancers

DOI 10.2196/23586

PMID 34032581

发布时间 2026-04-07

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

JMIR medical informatics

2021年9卷5期

e23586页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

JMIR medical informatics

2021年9卷5期

e23586页

检索历史清除

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.

JMIR medical informatics

相似文献

同项目论文

JMIR medical informatics

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.

JMIR medical informatics

相似文献

同项目论文

JMIR medical informatics

相关期刊

检索历史清除