Title | ||
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Disease phenotype synonymous prediction through network representation learning from PubMed database |
Abstract | ||
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•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 Ma | 1 | 0 | 0.34 |
Kuo Yang | 2 | 4 | 2.43 |
Ning Wang | 3 | 230 | 87.46 |
Qiang Zhu | 4 | 10 | 5.74 |
Zhuye Gao | 5 | 0 | 0.34 |
Runshun Zhang | 6 | 21 | 9.37 |
Baoyan Liu | 7 | 0 | 0.34 |
Xuezhong Zhou | 8 | 209 | 30.20 |