基于对称数据的下背部和下肢疼痛与非疼痛的分类模型

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

摘要

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
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification Model to Discriminate People with and without Pain in the Lower Back and Lower Limb using Symmetry Data
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
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