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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| 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 |