Title :
Data Mining on Patient Data
Author :
Du, Junping ; Guo, Wensheng
Author_Institution :
Dept. of Comput. Sci., Beijing Technol. & Bus. Univ.
Abstract :
In this paper, we use machine learning schemes IR, 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
Keywords :
data mining; database management systems; decision trees; learning (artificial intelligence); medical computing; colposuspension; data mining; decision trees; machine learning; medical dataset; patient data; Clinical diagnosis; Computer science; Data mining; Decision trees; Humans; Learning systems; Machine learning; Neural networks; Pattern recognition; Testing;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614573
