Comparison of different feature extraction methods for applicable automated ICD coding

BACKGROUND: Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) as the feature extraction method, and do not commonly use more complicated methods, such as word2vec (W2V) and large pretr...

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Detalles Bibliográficos
Autores principales: Shuai, Zhao, Xiaolin, Diao, Jing, Yuan, Yanni, Huo, Meng, Cui, Yuxin, Wang, Wei, Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756659/
https://www.ncbi.nlm.nih.gov/pubmed/35022039
http://dx.doi.org/10.1186/s12911-022-01753-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756659/
https://www.ncbi.nlm.nih.gov/pubmed/35022039
http://dx.doi.org/10.1186/s12911-022-01753-5

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