Information Technology Reference
In-Depth Information
Chapter 16
Computational Intelligence in Cognitive Healthcare
Information Systems
Lidia Ogiela
AGH University of Science and Technology
Al. Mickiewicza 30, PL-30-059 Krakow, Poland
logiela@agh.edu.pl
Abstract. This publication presents key problems of cognitive information sys-
tems. Cognitive data analysis systems will first be classified, then their genesis
and development will be presented, and then their two main classes will be dis-
cussed: UBIAS (Understanding Based Image Analysis Systems) and UBMSS
(Understanding Based Management Support Systems). The image analysis class
is used to analyse the medical significance of lesions of various human organs.
UBMSS systems provide automatic support for the strategic and financial deci-
sion-making process in enterprises. Due to the subject discussed here, UBMSS
systems will be presented as assets supporting the management of medical units.
Keywords: cognitive informatics, pattern understanding, cognitive analysis,
computational intelligence, natural intelligence, intelligent systems, cognitive
categorization systems.
1 Introduction
The data analysis systems currently in use are increasingly frequently enhanced by
adding the functionality for interpreting the meaning of the analysed data. This type
of an analysis is made possible, among other elements, by the use of cognitive data
interpretation formalisms which include meaning analyses, linguistic descriptions and
semantic reasoning.
Traditional information systems used for data analysis are gradually being replaced
by cognitive data analysis systems. The classification and functions of cognitive data
analysis systems will be presented in subsequent subsections of this publication, along
with their main elements distinguishing the analysed decision-support systems from
other information systems.
Cognitive data analysis is based on formalisms of meaning-based data interpreta-
tion, which in turn are founded in philosophy and psychology. The meaning based
interpretation, understanding and analysis are very often similar to human cognitive
and decision-making processes, in which information acquisition, storage and trans-
mission are of major importance.
Analysis, interpretation and reasoning processes were used to build and describe
new classes of cognitive categorisation systems which are to execute in-depth analyses
 
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