ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

For citation:

Karp V. P., Sarukhanov B. A. Nonlinear dynamics of an expert,s thinking and algorithms of his professional knowledge expansion by example of medical problems. Izvestiya VUZ. Applied Nonlinear Dynamics, 2011, vol. 19, iss. 6, pp. 36-50. DOI: 10.18500/0869-6632-2011-19-6-36-50

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Full text PDF(Ru):
PDF icon 2011no6p036.pdf
(downloads: 203)
Language: 
Russian
Heading: 
Nonlinear Dynamics and Neuroscience
Article type: 
Article
UDC: 
004.89:616+612.821:007
DOI: 
10.18500/0869-6632-2011-19-6-36-50

Nonlinear dynamics of an expert,s thinking and algorithms of his professional knowledge expansion by example of medical problems

Autors: 
Karp Viktorija Pavlovna, P.N. Lebedev Physical Institute of the Russian Academy of Sciences
Sarukhanov Bagrat Arturovich, Moscow State Technical University of Radio Engineering, Electronics and Automation
Abstract: 

The process of a problem area experts knowledge acquisition is considered from a nonlinear dynamics positions. Stages and types of acquired knowledge are marked out; the role of an intuitive thinking in decision process concerning complex objects is defined. The role of intelligent data analysis methods in new knowledge forming processes is defined. The result of a developed «Semantic computer knowledge base analysis» algorithm is given on an example of the concrete medical problem.

Key words: 
Knowledge acquiring process
intuitive knowledge
intelligent data analysis
computer knowledge interpretation algorithms
medicine
Reference: 
  1. Guberman SA. Artificial intelligence-88 and "Productive thinking" of M. Wertheimer (1945; Russian translation M .: Progress, 1987). In: Questions of Psychology. 1990;(1):100–106 (in Russian).
  2. Kobrinsky BA. The logic of argumentation in decision-making in medicine. NTI. 2001;(9):1–8 (in Russian).
  3. Barsegyan AA, Kupriyanov MS, Stepanenko VV, Kholod II. Data Analysis Methods and Models: OLAP and Data Mining. Saint Petersburg: BHV-Petersburg; 2004. 336 p. (in Russian).
  4. Duke V, Samoilenko A. Data Mining. Saint Petersburg: Piter; 2001. 368 p. (in Russian).
  5. Karp VP. Data mining in the problem of constructing decision rules for classification. Artificial Intelligence News. 2006;(2):57–75 (in Russian).
  6. Chernavskii DS, Karp VP, Rodshtat IV, et al. Recognition. Autodiagnostics. Thinking. Synergetics and Human Science. Moscow: IPRZR; 2004. 272 p. (in Russian).
  7. Bongard MM. Pattern Recognition. Spartan Books; 1970. 253 p.
  8. Karp VP, Ogurchikova AL. Intelligent system for structural analysis of comparison groups of complex objects. In: Collection of Scientific Papers of the 59th Scientific and Technical Conference MIREA. Part 1. Мoscow; 2010. P. 14–17 (in Russian).
  9. Karp VP, Sarukhanov BA, Safarova EA. Algorithm for detecting and accounting for hidden connections in diagnostic knowledge bases on a specific problem. In: Collection of Scientific Papers of the 59th Scientific and Technical Conference MIREA. Part 1. Мoscow; 2010.  P. 18–22 (in Russian).
  10. Karp VP, Sarukhanov BA, Safarova EA. Algorithm for semantic analysis of the diagnostic knowledge base in decision support systems. In: Materials of the XI Annual Specialized Conference and Exhibition «Information Technology In Medicine». Moscow: «Konsef»; 2010. P. 154 (in Russian).
  11. Karp VP, Sarukhanov BA. Modern intelligent technologies for data analysis in the development of diagnostic knowledge bases. In: Collection of Scientific Abstracts of the XVIII International Conferences «Maths. Computer. Education». Pushchino; 2011. P. 100 (in Russian).
  12. Karp VP. Data mining in the problem of formalizing the expert's intuitive knowledge. In: Collection of Proceedings of the Conference «Nonlinear Dynamics in Cognitive Research» 2011: Institute of Applied Sciences. Physics. Nizhny Novgorod: IAS RAS; 2011. P. 82 (in Russian).
  13. Karp VP. Computer program for constructing decision rules for classification (Consilium-1). In: All-Russian Fund of Algorithms and Programs (RosA-PO). No. 940206. Moscow; 1994. 28 p. (in Russian).
  14. Karp VP, Chernavskii DS, Nikitin AP. A method for determining the kinetic parameters of electrical potentials of acupuncture points in the diagnosis of an organism and a device for its implementation. State Register of Inventions. Patent No. 2093134 dated 20.10.97 (in Russian).
  15. Karp VP, Sarukhanov BA. Intelligent system for diagnosing diseases of newborns from infected mothers. RF Patent for a Utility Model State Register of Utility Models of The Russian Federation No. 108675 dated 20.09.2011 (in Russian).
  16. Karp VP, Sarukhanov BA. Knowledge base analysis system. Copyright Certificate of the State. Reg. Computer Programs No. 2011617361. Register of Computer Programs dated 09.21.2011 (in Russian).
Received: 
12.07.2011
Accepted: 
14.11.2011
Published: 
29.02.2012
Short text (in English):
PDF icon a2011no6p036.pdf
(downloads: 59)
  • 1720 reads