Using machine learning to develop Iraqi-specific spirometric reference equations
GBM-derived equations show improved accuracy and calibration over GLI standards for Iraqi adults, offering a more suitable tool for spirometry interpretation.
Authors
- Judith Eberhardt (ORCID: https://orcid.org/0000-0003-0745-178X)
- Anan S. Jarab (ORCID: https://orcid.org/0000-0002-0416-506X)
- Walid A. Al-Qerem (ORCID: https://orcid.org/0000-0001-9831-7572)
- Alaa Hussein Alsajri (ORCID: https://orcid.org/0000-0003-3567-3208)
Institutions
- Universiti Sains Malaysia (MY)
- Al-Zaytoonah University of Jordan (JO)
- Jordan University of Science and Technology (JO)
- Teesside University (GB)
Publication Details
- Journal
- Future Science OA
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1080/20565623.2025.2582429
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00