%0 Conference Proceedings
%T An Adequate Representation of Medical Data Based on Partial Set Approximation
%+ Department of Health Informatics [Debrecen]
%+ Department of Computer Science [Debrecen] (BSc)
%A Csajbók, Zoltán, Ernő
%A Mihálydeák, Tamás
%A Ködmön, József
%Z Part 3: Biometrics and Biometrics Applications
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 12th International Conference on Information Systems and Industrial Management (CISIM)
%C Krakow, Poland
%Y Khalid Saeed
%Y Rituparna Chaki
%Y Agostino Cortesi
%Y Sławomir Wierzchoń
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8104
%P 120-128
%8 2013-09-25
%D 2013
%R 10.1007/978-3-642-40925-7_12
%K Rough set theory
%K partial approximation of sets
%K tool–based approximation framework
%K thyroid disease diagnosis
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01496057/document
%2 https://inria.hal.science/hal-01496057/file/978-3-642-40925-7_12_Chapter.pdf
%L hal-01496057
%U https://inria.hal.science/hal-01496057
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-8104