基于逻辑回归的近邻分类耦合算法在医学骨科分类应用OA

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.