SEARCHING FOR AN IMPORTANT ATTRIBUTES
IN THE ANALYSIS OF EXPERIENCE IN THE TREATMENT
OF UROLITHIASIS USING ESWL PROCEDURE
Article published in Urologia Polska 1997/50/3.
authors
-
Andrzej Antczak, Zbigniew Kwias, Wojciech Sawicki 1, Krzysztof Słowiński 2, Jerzy Stefanowski 3
- 1 Katedra i Klinika Urologii Akademii Medycznej
im. K. Marcinkowskiego w Poznaniu
Kierownik Kliniki: prof. dr hab. med. Zbigniew Kwias
2 Klinika Chirurgii Urazowej Akademii Medycznej
im. K. Marcinkowskiego w Poznaniu
Kierownik Kliniki: prof. dr hab. med. Krzysztof Słowiński
3 Instytut Informatyki Politechniki Poznańskiej
Kierownik Instytutu: prof. dr hab. Roman Słowiński
keywords
-
urinary tract urolithiasis ESWL rough set theroy
summary
- Since 1990, in the Department of Urology Karol Marcinkowski University
- School of Medical Science the ESWL procedure in the treatment of urolithiasis
- was been performed about 1000 patients by year, using Dornier MPL-9000
- e±uipment. The patients qualification was based on the data (called attributes)
- coming from the history of illness, laboratory X-ray and ultrasound
- investigations. From the period of 1993-1995 we selected randomly a group of
- 500 patiens which data were analysed according to the Rough set theory. The
- aim of this study was to determine an essential attributes which would describe
- the patients suffering from urolithiasis and which could interfere an indications
- to this procedure and the final result of treatment. The result achived from our
- experience in urolithiasis treatment and their verification using the Rough set
- theory can be used further to create the data base for Computerized decision
- support system. When examine a new patient this system would take into
- consideration the most important attributes from the point of view of their
- closer cause-effect dependence with the final result of ESWL treatment.
references
- [1] Kwias, Z. i inni: Clinical experiences in treatment of urinary tract's stones
- using Dornier MPL 9000 lithotriptor. Nowiny Lekarskie, 2,15-24.
- [2] Michalski, R. S., Cabonell, J. G., Mitchell, T. M (ed.): Machinę Lear-
- ning. An Artificial Intelligence Approach Morgan Kaufman, str. 83-134.
- [3] Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning About Data. Kluwer
- Academic Publishers. Dordrecht, 1991.
- [4] Słowiński, K., Stefanowski, }., Antczak, A., Kwias, Z.: Rough set appro-
- ach to the verifications of indications for treatment of urinary stones by ESWL.
- Soft Computing 1995 Simulation Councils, Inc. ,str. 93-95.
- [5] Słowiński, K.: Wykorzystanie teorii zbiorów przybliżonych do analizy leczenia
- wrzodu dwunastnicy wysoce wybiórcz± wagotomi± i ostrego zapalenia trzustki
- płukaniem otrzewnej. Akademia Medyczna im. Karola Marcinkowskiego w
- Poznaniu, 1990 r.
- [6] Stefanowski, ]., Słowiński, K., Antczak, A., Kwias, Z.: Verification of
- conclusions from the Rough Set analysis of the experience with ESWL for treatment
- of urinary stones. Warsaw University of Technology, Resaerch Report, 45/95.
- [7] Stefanowski, J., Słowiński, K.: Rough sets as a tool for studying attribute
- dependecies in the in the urinary stones treatment data set. Warsaw University
- of Technology, Resaerch Report, 14/96.
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