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Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent
  Representations on Electronic Health Records

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records

10 November 2019
Jingqing Zhang
Xiaoyu Zhang
Kai Sun
Xian Yang
Chengliang Dai
Yike Guo
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Papers citing "Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records"

2 / 2 papers shown
Title
Self-Supervised Detection of Contextual Synonyms in a Multi-Class
  Setting: Phenotype Annotation Use Case
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Jingqing Zhang
Luis Bolaños
T. Li
Ashwani Tanwar
Guilherme Freire
Xian Yang
Julia Ive
Vibhor Gupta
Yike Guo
10
14
0
04 Sep 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Z Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
19
154
0
07 Jul 2021
1