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Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Prediction of Spinal Pain Intensity from Perception-Dependent Stimulation Thresholds and Patient Characteristics: A Regression and Machine Learning Approach

  • Kübra Okuyucu1
  • Aybike Şenel1
  • Ahmet Gülünay2
  • Murat Yücel3
  1. 1Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, , 05100 Amasya, Türkiye;
  2. 2Department of Physiotherapy and Rehabilitation, Graduate Education Institute, , 78050 Karabük, Türkiye;
  3. 3Department of Biostatistics, Faculty of Medicine, , 26480 Eskişehir, Türkiye;
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Cite

BibTeXRIS
BibTeX
@article{okuyucu2026prediction,
  title = {{Prediction of Spinal Pain Intensity from Perception-Dependent Stimulation Thresholds and Patient Characteristics: A Regression and Machine Learning Approach}},
  author = {Kübra Okuyucu and Aybike Şenel and Ahmet Gülünay and Murat Yücel},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13703569},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Prediction of Spinal Pain Intensity from Perception-Dependent Stimulation Thresholds and Patient Characteristics: A Regression and Machine Learning Approach
AU  - Kübra Okuyucu
AU  - Aybike Şenel
AU  - Ahmet Gülünay
AU  - Murat Yücel
PY  - 2026
DA  - 2026/10/01
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13703569
SN  - 2075-4418
ER  -