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Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models

Crossref DOI link: https://doi.org/10.1016/j.heliyon.2022.e09683

Published Print: 2022-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Faris, Hossam https://orcid.org/0000-0003-4261-8127
Faris, Mohammad

Habib, Maria https://orcid.org/0000-0001-9642-9597
Alomari, Alaa https://orcid.org/0000-0001-9148-3543
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Text and Data Mining valid from 2022-06-01

Text and Data Mining valid from 2022-06-01

Version of Record valid from 2022-06-01
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This article is maintained by: Elsevier

Article Title: Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models

Journal Title: Heliyon

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.heliyon.2022.e09683

Content Type: article

Copyright: © 2022 Altibbi. Published by Elsevier Ltd.