Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study

BACKGROUND: Most current state-of-the-art models for searching the International Classification of Diseases, Tenth Revision Clinical Modification (ICD-10-CM) codes use word embedding technology to capture useful semantic properties. However, they are limited by the quality of initial word embeddings...

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Detalles Bibliográficos
Autores principales: Lin, Chin, Lou, Yu-Sheng, Tsai, Dung-Jang, Lee, Chia-Cheng, Hsu, Chia-Jung, Wu, Ding-Chung, Wang, Mei-Chuen, Fang, Wen-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683650/
https://www.ncbi.nlm.nih.gov/pubmed/31339103
http://dx.doi.org/10.2196/14499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683650/
https://www.ncbi.nlm.nih.gov/pubmed/31339103
http://dx.doi.org/10.2196/14499

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