基于逻辑回归的近邻分类耦合算法在医学骨科分类应用  

Application in Medical Orthopedic Classification of Coupling Nearest Neighbor Classification Algorithm Based on Logistic Regression

作　　者：王宣谕 WANG Xuanyu(Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学,四川成都611756

出　　处：《现代信息科技》2024年第11期158-162,共5页Modern Information Technology

摘　　要：随着现代医学的迅速发展,生物力学可以用来模拟人体机械组成各部分之间的关系,根据骨科患者的生物力学特征可以预测患者的症状类别,为临床诊断提供依据。文章为进一步提高预测分类的准确性,结合机器学习理论以最近邻算法分类及逻辑回归耦合算法来进行医学方面的骨科分类,通过双算法准确度判断的耦合结果进行进一步判断,丰富算法的计算维度,进一步提高了分类准确率的精度。With the rapid development of modern medicine,biomechanics can be used to simulate the relationship between the mechanical components of the human body,and the category of symptoms of patients can be predicted according to the biomechanical characteristics of orthopedic patients,providing a basis for clinical diagnosis.In order to further improve the accuracy of prediction classification,this paper combines Machine Learning theory to classify orthopedics in medicine with Nearest Neighbor algorithm classification and Logistic Regression coupling algorithm,and further judges through the coupling results of dual algorithm accuracy judgment,enriches the calculation dimension of the algorithm,and further improves classification accuracy.

关 键 词：最近邻分类器 耦合算法 生物特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]