U.S., Sept. 25 -- ClinicalTrials.gov registry received information related to the study (NCT07839520) titled 'Pain Prediction Via Machine Learning: Electrical Thresholds and Interoception' on Sept. 19.
Brief Summary: The goal of this observational study is to predict (retrospective and prospective) musculoskeletal pain in university students using machine learning models based on electrical threshold measurements and interoceptive awareness. The main question it aims to answer is:
Can electrical sensory, motor, and pain thresholds, along with interoceptive awareness scores, predict musculoskeletal pain status in young adults using machine learning algorithms?
Participants will:
Complete demographic, healthy lifestyle (physical activity,...