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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| 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 |