Classification Model to Discriminate People with and without Pain in the Lower Back and Lower Limb using Symmetry Data

Si-hyun Kim, Siwoo Jeong, Kyue-nam Park
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引用次数: 2

Abstract

Lower limb pain is concomitant with back pain in 61.8% of cases. Specifically, pain in the back and hip is significantly related with knee and ankle pain. Early diagnosis can prevent recurrence of pain. A recent review suggested that classification and prediction of pain using artificial intelligence and machine learning algorithms (decision tree, support vector machine, artificial neural network, k-nearest neighbor, etc.) has significant potential. A classification Classification Model to Discriminate People with and without Pain in the Lower Back and Lower Limb using Symmetry Data
基于对称数据的下背部和下肢疼痛与非疼痛的分类模型
61.8%的患者伴有下肢疼痛。具体来说,背部和臀部疼痛与膝盖和脚踝疼痛有显著关系。早期诊断可以防止疼痛复发。最近的一篇综述表明,使用人工智能和机器学习算法(决策树、支持向量机、人工神经网络、k近邻等)对疼痛进行分类和预测具有很大的潜力。基于对称数据的下背部和下肢疼痛与无疼痛的分类模型
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