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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Detaylı Bibliyografya
Yayımlandı:JAMIA Open
Asıl Yazarlar: Lee, Junghwan, Liu, Cong, Kim, Jae Hyun, Butler, Alex, Shang, Ning, Pang, Chao, Natarajan, Karthik, Ryan, Patrick, Ta, Casey, Weng, Chunhua
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2021
Konular:
Research and Applications
Online Erişim: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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