Jian Wang, Miaomiao Liu, Chao Tian, Junxiang Gu, Sihai Chen, Qiujuan Huang, Peiyuan Lv, Yuhai Zhang, Weixin Li
Low back pain (LBP) constitutes a distressing emotional ordeal and serves as a potent catalyst for adverse emotional states, notably anxiety. We dedicated to discerning methodologies for identifying patients who are predisposed to heightened levels of anxiety and pain. A self-assessment questionnaire was administered to patients afflicted with LBP. The pain scores were subjected to analysis in conjunction with anxiety scores, and a clustering procedure was executed using the scientific k-means methodology. Subsequently, six machine learning algorithms, including Logistics Regression (LR), K-Nearest Neighbor (KNN), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGB), were employed...
March 9, 2024: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia