ACF-SAP: A machine learning framework for predicting obstructive sleep apnea severity using anthropometric and clinical features
This work presents a scalable, low-cost screening framework that can improve triage efficiency and facilitate timely diagnosis, particularly in resource-constrained healthcare environments.
Authors
- Mohamed E. Eltwayeb
- Abduladhim Ashtaiwi
Institutions
- Misurata University (LY)
- American University of the Middle East (KW)
Publication Details
- Journal
- Clinical Neurophysiology Practice
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.cnp.2025.12.001
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00