@ARTICLE { Rsds2234,
author = {Stefanowski, Jerzy and Krysinski, Jerzy and Szoszkiewicz, Renata and Zaluski, Jerzy}, 
title = {Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients}, 
booktitle = {T. Rough Sets}, 
journal = {Transactions on Rough Sets}, 
number = 	{(no. I)}, 
volume = 1, 
pages = {375-391}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2004, 
issn = {0302-9743}, 
isbn = {3-540-22374-6}, 
abstract = {In this paper an approach based on the rough set theory and induction of decision rules is applied to analyse relationships between condition attributes describing breast cancer patients and their treatment results. The data set contains 228 breast cancer patients described by 16 attributes and is divided into two classes: the 1st class ? patients who had no experienced cancer recurrence; the 2nd class ? patients who had cancer recurrence. In the first phase of the analysis, the rough set based approach is applied to determine attribute importance for the patients' classification. The set of selected attributes, which ensured high quality of the classification, was obtained. Then, the decision rules we}, 
keywords = {rough set, decision rules, attribute selection, classification performance, medical data analysis, breast cancer, }, 
}