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References (22)
-
A.S. Kleshchev, S.V. Smagin (2008)
A general approach to computer experiments by inductive forming of knowledgeProgram. Prod. Sist., 1
-
A.A. Rusanov (1979)
Appenditsit -
A.S. Kleschev, S.V. Smagin (2012)
Problems of inductive formation of knowledge in the ontology of medical diagnosisAutom. Doc. Math. Linguist., 46
-
S.V. Smagin (2014)
Software for inductive forming of medical knowledge databasesProgram. Prod. Sist., 4
-
A.G. Kriger, A.V. Fedorov, P.K. Voskresenskii, A.F. Dronov (2002)
Ostryi appenditsit -
A.S. Kleshchev, V.A. Orlov (2006)
Computer knowledge banks. A universal approach to solving the problem of data editingInf. Tekhnol., 5
-
N.G. Zagoruiko (2012)
Kognitivnyi analiz dannykh -
A.S. Kleshchev (2003)
Tasks of inductive formation of knowledge in terms of primitive domain ontologiesNauchn.-Tekhn. Inform., Ser. 2, 8
-
A.S. Kleshchev, S.V. Smagin (2008)
Organization of computer experiments on inductive knowledge discoveryAutom. Doc. Math. Linguist., 42
-
A.S. Kleshchev, S.V. Smagin (2009)
Experimental study into the properties of the Monte-Carlo method for inductive formation of knowledge in terms of a simplified ontology for medical diagnosticsAutom. Doc. Math. Linguist., 43
-
E.E. Vityaev (2006)
Izvlechenie znanii iz dannykh. Komp?yuternoe poznanie. Modeli kognitivnykh protsessov: Monografiya -
N.Y. Nikiforova, M.Y. Chernyakhovskaya (2008)
Acute appendicitis knowledge database as a medical knowledge bank content componentInf. Sist. Uprav., 3
-
Y.I. Zhuravlev, V.V. Ryazanov, O.V. Sen’ko (2006)
?Raspoznavanie?. Matematicheskie metody. Programmnaya sistema. Prakticheskie primeneniya -
A.S. Kleshchev, I.L. Artem’eva (2001)
Mathematical models of domain ontologiesNauchn.-Tekhn. Inform., Ser. 2, 2
-
A.S. Kleshchev, S.V. Smagin (2006)
Parallelization of computations in solving the problem of inductive forming of knowledge databasesIskusstv. Intell., 3
-
V.K. Finn (1999)
The role of machine learning in intelligent systemsNauchn.-Tekhn. Inform., Ser. 2, 12
-
T.A. Gavrilova, V.F. Khoroshevskii (2000)
Bazy znanii intellektual?nykh system -
D. Michie (1980)
Expert systemsComput. J., 23
-
A.S. Kleshchev, I.L. Artem’eva (2000)
Unenriched logical dependence systemsNauchn.-Tekhn. Inform., Ser. 2, 7
-
A.S. Kleshchev, M.Y. Chernyakhovskaya, F.M. Moskalenko (2005)
?Medical Diagnostics? Domain Ontology ModelNauchn.-Tekhn. Inform., Ser. 2, 12
-
A.S. Kleshchev, S.V. Smagin (2011)
The role of internal and external evaluation of properties of methods for the inductive formation of knowledgeAutom. Doc. Math. Linguist., 45
-
S.V. Smagin (2014)
Svidetel?Stvo o gosudarstvennoi registratsii programmy dlya EVM no. 2014610984
- Publisher
- Springer Journals
- Copyright
- Copyright © 2016 by Allerton Press, Inc.
- Subject
- Computer Science; Information Storage and Retrieval
- ISSN
- 0005-1055
- eISSN
- 1934-8371
- DOI
- 10.3103/S0005105516020035
- Publisher site
- See Article on Publisher Site
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.
Journal
Automatic Documentation and Mathematical Linguistics – Springer Journals
Published: Jun 2, 2016