首页> 中文期刊> 《数理医药学杂志》 >广义线性模型在不同种类膝骨关节炎预测中的应用

广义线性模型在不同种类膝骨关节炎预测中的应用

         

摘要

目的::分析膝骨关节炎类型和影响因素。方法:每一种膝骨关节炎都可以拆分成髌周炎症、腘窝牵涉性炎症、髌股关节紊乱、膝周肌腱及肌张力增高,分别建立 logistic 回归,判断患者在这4种基本疾病的患病情况。结果:模型都通过了检验,拟合程度在81.5%~97.6%之间。结论:膝骨关节炎主要表现为膝痛、活动时膝盖困难和僵硬,膝盖压痛并伴有肌肉紧张等,易受年龄、体重的影响,女性患病率高于男性。%Objective:To analysis types and risk factors ofknee osteoarthritis.Methods:Each kind ofknee osteoarthritis can be decomposed into periarthritis of patella,popliteal inflammatory involvement,patellofem-oral joint disorders,knee tendon and muscle tension increase.Logistic regression models are built to judge the conditions of patients under the 4 basic kinds of knee osteoarthritis.Results:All the models were tested and the fittingdegreeswere between 81.5% and 97.6%.Conclusion:The performances ofknee osteoarthritis were mainly gonalgia,difficulty and stiff in keen movement accompanied with muscle tension,which was influ-enced by age and weight,and the incidence of femininity is higher than that of masculinity.

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