BJBN： BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic

This study proposed a medicine auxiliary diagnosis model based on neural network. The model combines a bidirectional long short-term memory（Bi-LSTM）network and bidirectional encoder representations from transformers (BERT), which can well complete the extraction of local features of Chinese medicine...

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Detalles Bibliográficos
Autores principales: Xu, Chuanjie, Yuan, Feng, Chen, Shouqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767381/
https://www.ncbi.nlm.nih.gov/pubmed/35070235
http://dx.doi.org/10.1155/2022/3496810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767381/
https://www.ncbi.nlm.nih.gov/pubmed/35070235
http://dx.doi.org/10.1155/2022/3496810

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