现代信息科技2024，Vol.8Issue(11)：158-162,5.DOI:10.19850/j.cnki.2096-4706.2024.11.031
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
摘要
Abstract
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Key words
Nearest Neighbor classifier/coupling algorithm/biological characteristics分类
信息技术与安全科学引用本文复制引用
王宣谕..基于逻辑回归的近邻分类耦合算法在医学骨科分类应用[J].现代信息科技,2024,8(11):158-162,5.
