Rough sets approach to analysis of data from peritoneal lavage in acute pancreatitis

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Abstract
Two kinds of information systems composed of data from peritoneal lavage in acute pancreatitis are analysed with the concept of rough sets: system A, classifying patients described by pre-lavage attributes, and system B, classifying patients described by attributes of the course of the multistage lavage. The analysis tends to define subsets which are significant for high quality of classification. These attributes give the best description of the patient''s state and are in the closest relationship with the time of lavage. The character of this relationship is shown by decision algorithms derived from decision tables representing the information system.

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