Title
Disease phenotype synonymous prediction through network representation learning from PubMed database
Abstract
•Automatically predicts synonym relation between different terminology databases.•A new phenotype network representation method is proposed learning from PubMed.•Performance of synonym prediction improves with combination of binary classifications.
Year
DOI
Venue
2020
10.1016/j.artmed.2019.101745
Artificial Intelligence in Medicine
Keywords
Field
DocType
Synonyms relation,Phenotype terminology,Network representation,Classification
Cosine similarity,Voting,Ranking,Terminology,Computer science,Synonym,Artificial intelligence,Majority rule,Classifier (linguistics),Database,Machine learning,Binary number
Journal
Volume
ISSN
Citations 
102
0933-3657
0
PageRank 
References 
Authors
0.34
1
8
Name
Order
Citations
PageRank
Shiwen Ma100.34
Kuo Yang242.43
Ning Wang323087.46
Qiang Zhu4105.74
Zhuye Gao500.34
Runshun Zhang6219.37
Baoyan Liu700.34
Xuezhong Zhou820930.20