Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes.
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| Title: | Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes. |
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| Authors: | Moustafa IM; Department of Physiotherapy, College of Health Sciences, University of Sharjah, 27272, Sharjah, United Arab Emirates.; Neuromusculoskeletal Rehabilitation Research Group, RIMHS-Research Institute of Medical and Health Sciences, University of Sharjah, 27272, Sharjah, United Arab Emirates.; Faculty of Physical Therapy, Cairo University, Giza, 12613, Egypt., Khowailed IA; Department of Physiotherapy, College of Health Sciences, University of Sharjah, 27272, Sharjah, United Arab Emirates., Zadeh SAM; Department of Physiotherapy, College of Health Sciences, University of Sharjah, 27272, Sharjah, United Arab Emirates.; Neuromusculoskeletal Rehabilitation Research Group, RIMHS-Research Institute of Medical and Health Sciences, University of Sharjah, 27272, Sharjah, United Arab Emirates., Ozsahin DU; Department of Medical Diagnostic Imaging, College of Health Science, University of Sharjah, Sharjah, United Arab Emirates.; Operational Research Centre in Healthcare, Near East University, TRNC Mersin 10, Nicosia, 99138, Turkey.; Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates., Mustapha MT; Operational Research Centre in Healthcare, Near East University, TRNC Mersin 10, Nicosia, 99138, Turkey.; Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.; Department of Biomedical Engineering, Near East University, Mersin 10, Nicosia, Turkey., Oakley PA; Private Practice, Newmarket, ON, L3Y 8Y8, Canada.; Kinesiology and Health Science, York University, Toronto, ON, M3J 1P3, Canada., Harrison DE; CBP Nonprofit (a Spine Research Foundation), Eagle, ID, 83616, USA. drdeedharrison@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 22804. Date of Electronic Publication: 2025 Jul 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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