Informatics and Applications
2021, Volume 15, Issue 2, pp 52-59
SOFT COMPUTING IN PROBLEMS OF MEDICAL DIAGNOSTICS
Abstract
In recent years, the importance of informatics has increased for the interpretation and analysis of data using computational methods, in particular, the so-called "soft" computing (Soft Computing - SC). The article discusses the possibilities of using SC for solving problems related to medicine and, especially, problems of decision support. At the same time, it is demonstrated that one should not artificially use innovations, especially since, at the cost of little effort, one can turn to classical approaches that are methodologically rigorous and lead to guaranteed results. The undoubted interest in the study of SC methodologies in various disciplines (genetics, physiology radiology, cardiology, neurology, etc.) demonstrates that their study is extremely fruitful and it is expected that future research in medicine will use the corresponding methods to a greater extent than today and for more complex tasks.
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[+] About this article
Title
SOFT COMPUTING IN PROBLEMS OF MEDICAL DIAGNOSTICS
Journal
Informatics and Applications
2021, Volume 15, Issue 2, pp 52-59
Cover Date
2021-06-30
DOI
10.14357/19922264210208
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
medicine; soft computing; reference values; Bayesian approach
Authors
M. P. Krivenko 
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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