Data mining on patient data

被引：0
|
作者：
Du, JP [1 ]
Guo, WS [1 ]
机构：
[1] Beijing Technol & Business Univ, Dept Comp Sci, Beijing 100037, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we use machine learning schemes K FOIL, InductH and C5.0 to generate decision trees and rules from the examples in the medical dataset. The aim of our study is to Infer the patterns that can help doctors to identify, recognize and predict the effect of the risk factors on the long term subjective cure rates of patients who undergo colposuspension. High test classification was sometimes achieved. Our best results came when one learning method suggested the preprocessing steps to be used for another method.
引用
收藏
页码：84 / 87
页数：4
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