This paper is in the following e-collection/theme issue:

Theme Issue 2021: Health Natural Language Processing and Applications (16) Ontologies, Classifications, and Coding (239) Natural Language Processing (692)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28218, first published .
Head and Tail Entity Fusion Model in Medical Knowledge Graph Construction: Case Study for Pituitary Adenoma

Head and Tail Entity Fusion Model in Medical Knowledge Graph Construction: Case Study for Pituitary Adenoma

Head and Tail Entity Fusion Model in Medical Knowledge Graph Construction: Case Study for Pituitary Adenoma

Authors of this article:

An Fang1, 2 Author Orcid Image ;   Pei Lou2 Author Orcid Image ;   Jiahui Hu2 Author Orcid Image ;   Wanqing Zhao2 Author Orcid Image ;   Ming Feng3 Author Orcid Image ;   Huiling Ren2 Author Orcid Image ;   Xianlai Chen4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

An Fang   1, 2 , MS ;   Pei Lou   2 , MS ;   Jiahui Hu   2 , PhD ;   Wanqing Zhao   2 , MSc ;   Ming Feng   3 , MD ;   Huiling Ren   2 , MSL ;   Xianlai Chen   4, 5 , PhD

1 Life Science College, Central South University, Changsha, China

2 Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China

3 Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China

4 Big Data Institute, Central South University, Changsha, China

5 National Engineering Lab for Medical Big Data Application Technology, Central South University, Changsha, China

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