Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes
Abstract This study leveraged machine learning (ML) models to explore the relationship between three-dimensional (3D) spinal alignment parameters and clinical outcomes in patients suffering from fibromyalgia syndrome (FMS). A cohort of 303 FMS patients, diagnosed according to the 2016 American Colle...
Saved in:
| Main Authors: | Ibrahim M. Moustafa, Iman Akef Khowailed, Shima A. Mohammad Zadeh, Dilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Paul A. Oakley, Deed E. Harrison |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-05390-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fibromyalgia syndrome – current concepts
by: H.P. Meyer
Published: (2006-04-01) -
Post-concussion syndrome and concussion incidence improved in a pro rugby player following cervical spine rehab: case study and 6-year follow-up
by: Seth Strauss, et al.
Published: (2023-09-01) -
Fibromyalgia
by: G. R. Tabeeva
Published: (2014-03-01) -
Treatment of Fibromyalgia - duloxetine or pregabalin?
by: Magdalena Bujak, et al.
Published: (2025-04-01) -
Current diagnostic approaches for fibromyalgia
by: Alexey Nikolaevich Kalyagin
Published: (2012-03-01)