基于决策树的医疗数据挖掘
Medical Data Mining Based on Decision Tree
本文通过研究决策树的ID3算法，针对ID3算法的不足提出了决策树的修剪方法，利用决策树算法对乳腺疾病数据进行挖掘，使用SQL Server 2005数据挖掘工具，主要对乳腺癌复发情况进行预测。挖掘结果证明了决策树算法在医疗数据挖掘中的有效性，为医生提供了诊断帮助。
his paper studies on ID3 algorithm of decision tree. Because of ID3 algorithm’sdisadvantages, it brings forword pruning methods of decision tree. Based on decision tree, it provides us the data mining for breast-cancers. Using SQL Server 2005 data mining tools, it mainly predicts the situation of breast- cancer recurrences. The results of data mining shows that the decision tree algorithm in the medical data mining has effectiveness. It can provide help for diagnosis for doctors.
胡瑞娟
医学研究方法计算技术、计算机技术
数据挖掘ID3算法决策树修剪乳腺疾病
data miningID3 algorithmpruning methods of decision treebreast-cancer
胡瑞娟.基于决策树的医疗数据挖掘[EB/OL].(2008-09-01)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200809-24.点此复制
评论