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...

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Detalles Bibliográficos
Autores principales: Faris, Hossam, Faris, Mohammad, Habib, Maria, Alomari, Alaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
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

Internet

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

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