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Kreines M. G. Modelling knowledge based systems for classification problems: new information technology for insufficiently formalized knowledge. Izvestiya VUZ. Applied Nonlinear Dynamics, 1996, vol. 4, iss. 1, pp. 109-118.

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Russian
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681

Modelling knowledge based systems for classification problems: new information technology for insufficiently formalized knowledge

Autors: 
Kreines Mikhail Grigorievich, First Moscow State Medical University
Abstract: 

We discuss methodological base, ways of realization and problems of practical usage of the new information technology for insufficiently formalized knowledge. This technology gives user the effective help in gathering essential for the problem knowledge and information and does not disturb the pragmatic of the user.

Key words: 
-
Acknowledgments: 
This work was supported by the Ministry of Science and Technical Policy of the Russian Federation (within the framework of the project “Development of a modeling system for knowledge representation to support diagnostic decisions”, project № 1110 of the federal scientific and technical program “Advanced information technologies”) and the Russian Foundation for Basic Research (within the framework of the project “Development and study of a reasoning model for solving problems in poorly formalized subject areas”, grant 95-01-01583).
Reference: 
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  4. Gremy F. Persons and computers in medicine and health. Methods Inf. Med. 1988;27(1):3-9.
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  8. Miller PL, editor. Selected Topics in Medical Artificial Intelligence. N-Y.: Springer; 1988. 236 p. DOI: 10.1007/978-1-4613-8777-0.
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  11. Kreines МG. Mathematical model of the diagnostic process as a means of presenting meaningful medical knowledge. In: Problems of designing expert systems. M.; 1988. P. 144.
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  13. Sepir E. Selected Works on Linguistics and Cultural Studies. M.: Progress; 1993. 654 p.
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Received: 
14.07.1995
Accepted: 
15.01.1996
Published: 
05.06.1996
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