医学文献 >>
  • 检索发现
  • 增强检索
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
默认
×
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

Opportunistic screening of type 2 diabetes with deep metric learning using electronic health records.

广告
第一作者: Qixuan,Jin
第一单位: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. qixuanj@mit.edu.
作者单位: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. qixuanj@mit.edu. [1] Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. [2] Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.;Center for Genomic Medicine, Mass General Research Institute, Boston, MA, USA.;Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.;Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland.;Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland. [3] Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.;Department of Computer Science, Worcester Polytechnic Institute, Worcester, USA. [4] Department of Biomedical Informatics, Columbia University, New York, NY, USA. [5] School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA. [6] Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.;Center for Genomic Medicine, Mass General Research Institute, Boston, MA, USA.;Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. [7] Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.;Center for Genomic Medicine, Mass General Research Institute, Boston, MA, USA.;Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.;Cardiology Division, Department of Medicine and Cardiovascular Research Institute, University of California San Francisco, San Francisco, USA. [8] Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.;Center for Genomic Medicine, Mass General Research Institute, Boston, MA, USA.;Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.;Department of Medicine, Harvard Medical School, Boston, MA, USA. [9] Center for Genomic Medicine, Mass General Research Institute, Boston, MA, USA.;Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.;Clinical and Translational Epidemiology Unit, Mass General Research Institute, Boston, MA, USA.;Department of Medicine, Harvard Medical School, Boston, MA, USA. [10] School of Data Science, University of Virginia, Charlottesville, VA, USA. [11]
DOI 10.1038/s41598-025-25759-x
PMID 41290832
发布时间 2026-03-07
提交
  • 浏览0
Scientific reports

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

法律状态公告日 法律状态 法律状态信息

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new医文AI 翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷