Comparative effectiveness of medical concept embedding for feature engineering in phenotyping

OBJECTIVE: Feature engineering is a major bottleneck in phenotyping. Properly learned medical concept embeddings (MCEs) capture the semantics of medical concepts, thus are useful for retrieving relevant medical features in phenotyping tasks. We compared the effectiveness of MCEs learned from knowled...

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Bibliografiske detaljer
Udgivet i:JAMIA Open
Main Authors: Lee, Junghwan, Liu, Cong, Kim, Jae Hyun, Butler, Alex, Shang, Ning, Pang, Chao, Natarajan, Karthik, Ryan, Patrick, Ta, Casey, Weng, Chunhua
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2021
Fag:
Research and Applications
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8206403/
https://ncbi.nlm.nih.gov/pubmed/34142015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooab028
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