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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Bibliographic Details
Published in: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
Language:Inglês
Published: Oxford University Press 2021
Subjects:
Research and Applications
Online Access: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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