Applications of artificial intelligence to evaluate burnout sysdrome in anesthesiology

Authors

  • Antonieta Bravo TOXRUN – Toxicology Research Unit, University Institute of Health Sciences, CESPU, CRL, 4585-116 Gandra, Portugal.
  • Hossam Dawa IPSN – Instituto Politécnico de Saúde do Norte, University Institute of Health Sciences, CESPU, CRL, 4585-116 Gandra, Portugal.

DOI:

https://doi.org/10.51126/revsalus.v4iSup.420

Keywords:

anesthesia, artificial Intelligence, deep learning, machine learning, burnout

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Published

2022-04-06

Conference Proceedings Volume

Vol. 4 No. Sup (2022): Suplemento da RevSALUS - Revista Científica Internacional da RACS

Section

Posters

License

Creative Commons License

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How to Cite

Applications of artificial intelligence to evaluate burnout sysdrome in anesthesiology. (2022). RevSALUS - International Scientific Journal of the Academic Network of Health Sciences of Lusophone, 4(Sup), 185-186. https://doi.org/10.51126/revsalus.v4iSup.420