JLAN: medical code prediction via joint learning attention networks and denoising mechanism

BACKGROUND: Clinical notes are documents that contain detailed information about the health status of patients. Medical codes generally accompany them. However, the manual diagnosis is costly and error-prone. Moreover, large datasets in clinical diagnosis are susceptible to noise labels because of e...

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Detalles Bibliográficos
Autores principales: Li, Xingwang, Zhang, Yijia, Islam, Faiz ul, Dong, Deshi, Wei, Hao, Lu, Mingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667397/
https://www.ncbi.nlm.nih.gov/pubmed/34903164
http://dx.doi.org/10.1186/s12859-021-04520-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667397/
https://www.ncbi.nlm.nih.gov/pubmed/34903164
http://dx.doi.org/10.1186/s12859-021-04520-x

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