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Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models
Automatic symptom identification plays a crucial role in assisting doctors during the diagnosis process in Telemedicine. In general, physicians spend considerable time on clinical documentation and symptom identification, which is unfeasible due to their full schedule. With text-based consultation s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233221/ https://www.ncbi.nlm.nih.gov/pubmed/35761935 http://dx.doi.org/10.1016/j.heliyon.2022.e09683 |