An analysis of the results of the inductive formation of diagnostic medical knowledge databases
- Authors: Kleshchev A.S.1, Petryaeva M.V.1, Smagin S.V.2, Chernyakhovskaya M.Y.1
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Affiliations:
- Intelligent Systems Laboratory, Institute of Automation and Control Processes, Far East Branch
- Department of Applied Mathematics, Mechanics, Control and Software, School of Natural Sciences
- Issue: Vol 50, No 2 (2016)
- Pages: 70-78
- Section: Information Analysis
- URL: https://journals.rcsi.science/0005-1055/article/view/150119
- DOI: https://doi.org/10.3103/S0005105516020035
- ID: 150119
Cite item
Abstract
This paper proposes a problem-oriented method for the objective formation of easily interpretable knowledge databases for intelligent systems. We describe the InForMedKB software complex, which is designed for the inductive formation of medical diagnostics knowledge databases; it was used to perform the proposed method. Expert analysis of the results of using the developed software complex, viz., the inductively formed Acute Appendicitis database of medical diagnostic knowledge for a mathematical dependence model with parameters, which is near real-life ontology of medical diagnostics, is given.
About the authors
A. S. Kleshchev
Intelligent Systems Laboratory, Institute of Automation and Control Processes, Far East Branch
Author for correspondence.
Email: kleschev@iacp.dvo.ru
Russian Federation, Vladivostok
M. V. Petryaeva
Intelligent Systems Laboratory, Institute of Automation and Control Processes, Far East Branch
Author for correspondence.
Email: margaret@iacp.dvo.ru
Russian Federation, Vladivostok
S. V. Smagin
Department of Applied Mathematics, Mechanics, Control and Software, School of Natural Sciences
Author for correspondence.
Email: smagin.sv@dvfu.ru
Russian Federation, Vladivostok, Russky Island
M. Yu. Chernyakhovskaya
Intelligent Systems Laboratory, Institute of Automation and Control Processes, Far East Branch
Email: smagin.sv@dvfu.ru
Russian Federation, Vladivostok
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