An Adequate Representation of Medical Data Based on Partial Set Approximation

Abstract : Computer aided medical diagnosis and treatment require an adequate representation of uncertain or imperfect medical data. There are many approaches dealing with such type of data. Pawlak proposed a new method called rough set theory. In this paper, beyond classical and recent methods, the authors propose a basically new approach. It relies on a generalization of rough set theory, namely, the partial covering of the universe of objects. It adequately reflects the partial nature of real–life problems. This new approach called the partial approximation of sets is presented as well as its medical informatics application is demonstrated.
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Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.120-128, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_12〉
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Zoltán Csajbók, Tamás Mihálydeák, József Ködmön. An Adequate Representation of Medical Data Based on Partial Set Approximation. Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.120-128, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_12〉. 〈hal-01496057〉

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