Voice Analysis as a Method for Preoperatively Predicting a Difficult Airway Based on Machine Learning Algorithms: Original Research Report
Acoustic parameters of the voice together with the demographic data of the patients, when introduced into classification algorithms based on machine learning showed promising signs of predicting a difficult airway.
Authors
- J. Santaliestra
- Adaia Valls-Ontañón (ORCID: https://orcid.org/0000-0003-4065-7405)
- Claudia Rodiera (ORCID: https://orcid.org/0009-0009-7412-5977)
- J. Rodiera
- Carlos Ramírez‐Paesano (ORCID: https://orcid.org/0000-0002-1396-8382)
- Bibiana Ros
- R. Fabregat Borrás
- N. Rodríguez (ORCID: https://orcid.org/0009-0006-4623-9588)
- Helena Fortuny
- Miquel Lanau
Institutions
- Hospital Quirón Teknon (ES)
- Hospital Universitario Dexeus (ES)
Publication Details
- Journal
- Health Science Reports
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/hsr2.70246
- Citations
- 1
- Primary Topic
- Airway Management and Intubation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.64