發(fā)布時間：2018-05-04 04:43

  本文選題：股骨頸骨折 + 決策樹C4.5��； 參考：《太原理工大學》2017年碩士論文

【摘要】：股骨頸骨折手術預后質量評分(Harris評分)是骨科大夫極其關心的問題。隨著病例的積累,我們希望通過病例信息找到影響Harris評分的重要因子,并使用這些影響因子對新患者的手術預后Harris評分類別進行預測。貝葉斯網(wǎng)絡分類器是基于概率論與圖論的分類網(wǎng)絡,具有優(yōu)良的分類功能,已廣泛應用于數(shù)據(jù)挖掘、統(tǒng)計分析和人工智能等領域。決策樹是一種基于信息增益理論的分類算法,是一種使用簡單且應用面廣泛的分類器。本文從數(shù)據(jù)挖掘的概述出發(fā),首先,敘述了數(shù)據(jù)挖掘的基本內容及發(fā)展趨勢;進一步介紹了決策樹C4.5算法和貝葉斯網(wǎng)絡分類器算法并提出了決策樹C4.5算法的優(yōu)化算法——決策樹L-C4.5算法;最后,將決策樹L-C4.5算法和貝葉斯網(wǎng)絡分類器算法應用于股骨頸預后評分分類數(shù)據(jù)并成功搭建了優(yōu)良的股骨頸手術預后評分的決策樹和貝葉斯網(wǎng)絡分類器。在此基礎上,發(fā)現(xiàn)了Harris評分的重要影響因子分別為:BMI指數(shù)、骨折類型是否為Garden分型、是否存在糖尿病史、否是為側位螺釘平行結構、骨折位置是否為三角結構及骨折類別。
[Abstract]:The prognosis quality score of femoral neck fracture (Harris score) is of great concern to orthopedic doctors. With the accumulation of cases, we hope to find out the important factors that affect the Harris score through the case information, and use these factors to predict the Harris score of the surgical prognosis of the new patients. Bayesian network classifier is a classification network based on probability theory and graph theory. It has excellent classification function and has been widely used in data mining, statistical analysis and artificial intelligence. Decision tree is a classification algorithm based on information gain theory. It is a simple and widely used classifier. This paper starts from the summary of data mining, first of all, describes the basic content and development trend of data mining; Furthermore, the decision tree C4.5 algorithm and Bayesian network classifier algorithm are introduced, and the decision tree L-C4.5 algorithm, which is the optimization algorithm of decision tree C4.5 algorithm, is proposed. The decision tree L-C4.5 algorithm and Bayesian network classifier algorithm are applied to the classification data of femoral neck prognosis score, and the excellent decision tree and Bayesian network classifier for the prognosis score of femoral neck surgery are successfully constructed. On this basis, it was found that the important influencing factors of Harris score were the Harris index, whether the fracture type was Garden classification, whether there was diabetes history, whether it was a lateral screw parallel structure, whether the fracture position was triangular structure and fracture type.
【學位授予單位】：太原理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.13

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相關期刊論文 前10條

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本文編號：1841657