Abstract
An information system containing 122 patients with duodenal ulcer treated by highly selective vagotomy (HSV) is analyzed with the concept of rough sets. Twelve attributes are used to describe the patiens: 11 attributes concern anamnesis and preoperative gastric secretion and 12th attribute defines classification of patients according to long term results of the operation in the Visick grading. Using the methodology based on the rough sets theory, the information system is reduced so as to get a minimum subset of attributes ensuring an acceptable quality of the classification. A “model” of patients in each class is constructed upon the analysis of values adopted by attributes from this subset. Then, the reduced information system is identified with a decision table, assuming that the attributes in the minimum subset are condition attributes and that the result of treatment is a decision attribute. From this table, a decision algorithm is derived, composed of 44 decision rules. The algorithm and the models are helpful in decision making concerning the treatment of new duodenal ulcer patients by HSV.
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References
Alichniewicz A., Soltysiak A., (1980). Highly Selective Vagotomy (in Polish). Wydawnictwo Lódzkie, Lodi.
Dunn D.C., Thomas W.E.G., Hunter, J.O. (1980). An evaluation of highly selective vagotomy in the treatment of chronic duodenal ulcer. Surg. Gynecol. Obstel. 150, 845–849.
Fibak J., Pawlak Z., Slowinski K., Slowinski R. (1986). Rough sets based decision algorithm for treatment of duodenal ulcer by HSV. Bull. Polish Acad. Sci., Bio. Sci., 34 (10–12), 227–246.
Fibak J., Slowinski K., Slowinski R. (1986). The application of rough sets theory to the verification of indications for treatment of duodenal ulcer by HSV. Proc. 6th International Workshop on Expert Systems and their Applications, Avignon, vol. 1, 587–599.
Goligher J.C., Hill G.L., Kenny T.E., Nutter E. (1978). Proximal gastric vagotomy without drainage for duodenal ulcer: results after 5–8 years. British J. Surgery 65, 145–151.
Gruszecki G., Slowinski R., Stefanowski J. (1990). RoughDAS - Rough sets based data analysis software - User’s Manual,APRO S.A.,Warsaw.
Hautefeuille P., Picaud R. (1983). Les récidives aprés vagotomies pour ulcére duodénal, Masson, Paris.
Kay A. (1967). Memorial lecture. An evaluation of gastric acid secretion tests. Gastroenterology 53, 834–852.
McMahon M.J., Pickford J., Playforth M.J. (1980). Early prediction of severity of acute pancreatitis using peritoneal lavage. Acta Chirurgica Scandinavica, 146, 17 1175.
Pawlak Z., Slowinski K., Slowinski R. (1986). Rough classification of patients after highly selective vagotomy for duodenal ulcer. Int. J. Man-Machine Studies, 24, 413–433.
Popiela T., Szafran Z. (1978). Surgical treatment of duodenal ulcer: pre-operating diagnosis and qualification criteria for the method of treatment (in Polish). Proceedings of the Conferences and Courses at the Academy of Medicine in Cracow.
Ranson J.H, Spencer F.C. (1978). The role of peritoneal lavage in severe acute pancreatitis. Annals of Surgery, 187, 565–575.
Slowinski K., Slowinski R., Stefanowski J. (1988) Rough sets approach to analysis of data from peritoneal lavage in acute pancreatitis. Med. Inform., 13, 3 143–159.
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© 1992 Springer Science+Business Media Dordrecht
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Słowiński, K. (1992). Rough Classification of HSV Patients. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_6
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DOI: https://doi.org/10.1007/978-94-015-7975-9_6
Publisher Name: Springer, Dordrecht
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