Learning Low-Dimensional Representations of Medical Concepts

We show how to learn low-dimensional representations (embeddings) of a wide range of concepts in medicine, including diseases (e.g., ICD9 codes), medications, procedures, and laboratory tests. We expect that these embeddings will be useful across medical informatics for tasks such as cohort selectio...

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Detalles Bibliográficos
Autores principales: Choi, Youngduck, Chiu, Chill Yi-I, Sontag, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2016
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001761/
https://www.ncbi.nlm.nih.gov/pubmed/27570647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001761/
https://www.ncbi.nlm.nih.gov/pubmed/27570647

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