Screening and Management of Obstructive Sleep Apnea and Daytime Sleepiness Among Professional Drivers in Tunisia: Protocol for a Machine Learning Study
Our preliminary findings revealed that a significant proportion of drivers were at a high risk of OSA. Our results will pave the way for the creation of a clinical screening instrument that can identify sleep-wake disturbances in professional drivers. This is likely to have a significant impact on the legal regulations concerning driving fitness and road safety.
Authors
- Sonia Fehri
- Mohamed Turki
- Ahmed Abdelghani
- Nesrine Kammoun (ORCID: https://orcid.org/0000-0002-8865-6121)
- Narjes Abid
- Amira Triki
- R. Gargouri (ORCID: https://orcid.org/0000-0002-3906-9457)
- Heni Bouhamed (ORCID: https://orcid.org/0000-0001-9174-5865)
- S. Msaad (ORCID: https://orcid.org/0000-0003-2880-4548)
- C. Aïchaouia
- L. Douik El Gharbi
- S. Kammoun (ORCID: https://orcid.org/0000-0002-2915-4789)
- R. Khemakhem (ORCID: https://orcid.org/0000-0003-4977-6419)
- K. Kallel
- Rim Kammoun (ORCID: https://orcid.org/0000-0001-6760-2709)
- Sonia MaalejBellaj (ORCID: https://orcid.org/0000-0002-4001-3776)
Institutions
- University of Sfax (TN)
- Food Safety and Inspection Service (US)
- Hôpital Farhat Hached (TN)
- Office of Livestock and Pasture (TN)
- Hopital Universitaire Hedi Chaker (TN)
- Institute of Occupational Safety (SI)
- Military Hospital of Tunis (TN)
- Hopital Universitaire Habib Bourguiba (TN)
- Abderrahmane Mami Hospital (TN)
- Tunis El Manar University (TN)
- University of Sousse (TN)
Publication Details
- Journal
- JMIR Research Protocols
- Published
- 2025-08-15
- DOI
- https://doi.org/10.2196/70441
- Citations
- 1
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16