Pain Intensity Regression

Pain Intensity Regression is a method that employs machine learning techniques to predict and quantify the intensity of pain, aiming to objectively assess the level of pain through the analysis of patients' physiological and behavioral data. This approach holds significant application value in the medical field, as it can assist doctors in formulating more precise treatment plans and enhancing the effectiveness and efficiency of pain management.