Establishing central sensitization inventory cut-off values in Dutch-speaking patients with chronic low back pain by unsupervised machine learning.

Journal: Computers in biology and medicine
Published Date: Jun 10, 2024

Abstract

BACKGROUND: Human Assumed Central Sensitization (HACS) is involved in the development and maintenance of chronic low back pain (CLBP). The Central Sensitization Inventory (CSI) was developed to evaluate the presence of HACS, with a cut-off value of 40/100. However, various factors including pain conditions (e.g., CLBP), contexts, and gender may influence this cut-off value. Unsupervised clustering approaches can address these complexities by considering diverse factors and exploring possible HACS-related subgroups. Therefore, this study aimed to determine the cut-off values for a Dutch-speaking population with CLBP based on unsupervised machine learning.

Authors

  • Xiaoping Zheng
    Department of Urology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
  • Claudine Jc Lamoth
    University of Groningen, University Medical Center Groningen, Department of Human Movement Sciences, Groningen, the Netherlands.
  • Hans Timmerman
    University of Groningen, University Medical Center Groningen, Department of Anesthesiology, Pain Center, Groningen, the Netherlands.
  • Egbert Otten
    University of Groningen, University Medical Center Groningen, Department of Human Movement Sciences, Groningen, the Netherlands.
  • Michiel F Reneman
    University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands. Electronic address: m.f.reneman@umcg.nl.

Keywords

External Resources

Popular Topics
Recent Journals