Rough Set Theory and Rule Induction Techniques for Discovery of Attribute Dependencies in Medical Information Systems
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[1] Daniel Vanderpooten,et al. A General Two-Stage Approach to Inducing Rules from Examples , 1993, RSKD.
[2] R. Michalski,et al. Discovering attribute dependence in databases by integrating symbolic learning and statistical analysis techniques , 1993 .
[3] Roman Slowinski,et al. Rough Classification of Patients After Highly Selective Vagotomy for Duodenal Ulcer , 1986, Int. J. Man Mach. Stud..
[4] Jerzy W. Grzymala-Busse,et al. LERS-A System for Learning from Examples Based on Rough Sets , 1992, Intelligent Decision Support.
[5] Roman Słowiński,et al. Rough Classification with Valued Closeness Relation , 1994 .
[6] A. Hirshberg,et al. Planned Reoperation for Severe Trauma , 1995, Annals of surgery.
[7] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[8] J. Stefanowski,et al. Rough Sets as a Tool for Studying Attribute Dependencies in the Urinary Stones Treatment Data Set , 1997 .
[9] R. Słowiński,et al. Rough sets approach to analysis of data from peritoneal lavage in acute pancreatitis. , 1988, Medical informatics = Medecine et informatique.
[10] P. Stegemann,et al. Management of the multiply injured patient with fractures. , 1995, Instructional course lectures.
[11] Ryszard S. Michalski,et al. Data-Driven Constructive Induction , 1998, IEEE Intell. Syst..
[12] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.