Weakly Semi-supervised phenotyping using Electronic Health records

被引：5
|
作者：
Nogues, Isabelle-Emmanuella [1 ]
Wen, Jun [2 ]
Lin, Yucong [2 ,3 ]
Liu, Molei [1 ]
Tedeschi, Sara K. [4 ]
Geva, Alon [2 ,5 ,6 ]
Cai, Tianxi [1 ,2 ]
Hong, Chuan [2 ]
机构：
[1] Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston,MA, United States
[2] Department of Biomedical Informatics, Harvard Medical School, Boston,MA, United States
[3] Center for Statistical Science, Tsinghua University, Beijing, China
[4] Department of Medicine, Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston,MA, United States
[5] Department of Anesthesiology, Critical Care, and Pain Medicine, Computational Health Informatics Program, Boston Children's Hospital, Boston,MA, United States
[6] Department of Anesthesia, Harvard Medical School, Boston,MA, United States
来源：
Journal of Biomedical Informatics | 2022年 / 134卷
关键词：
28;
D O I：
10.1016/j.jbi.2022.104175
中图分类号：
学科分类号：
摘要：
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