Produção Nacional
AN EVOLUTIONARY APPROACH TO SIMULATE COGNITIVE FEEDBACK LEARNING IN MEDICAL DOMAIN
1997; World Scientific; Linguagem: Inglês
10.1142/9789814261296_0011
ISSN2010-2771
AutoresHeitor Silvério Lopes, Murilo Coutinho, Walter Celso de Lima,
Tópico(s)Neuroscience, Education and Cognitive Function
ResumoAdvances in Fuzzy Systems — Applications and TheoryGenetic Algorithms and Fuzzy Logic Systems, pp. 193-207 (1997) No AccessAN EVOLUTIONARY APPROACH TO SIMULATE COGNITIVE FEEDBACK LEARNING IN MEDICAL DOMAINH. S. LOPES, M. S. COUTINHO, and W. C. de LIMAH. S. LOPESCentro Federal de Educação Tecnológica do Paraná / CPGEI, Av. 7 de setembro, 3165 - 80230-901, Curitiba (PR), Brazil, M. S. COUTINHOUniversidade Federal de Santa Catarina / GPEB, P.O. Box 476, 88040-970, Florianópolis (SC), Brazil, and W. C. de LIMAUniversidade Estadual de Santa Catarina, P.O. Box 1228, 88080-350, Florianópolis (SC), Brazilhttps://doi.org/10.1142/9789814261296_0011Cited by:16 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: Cognitive feedback is a technique used for qualitative learning that has proven to be useful to train medical students. In this work we report the application of genetic algorithms to simulate this technique, using a knowledge-based system as the learner, in the domain of coronary artery disease diagnosis. The prototypical description of the disease employs fuzzy variables, as well as crisp ones. To evaluate the performance of the system, a similarity-triggered inference method is used over a diagnosed case-base. Results presented showing the efficiency of this approach, lead us to believe that this paradigm is useful for a wide range of applications. Keywords: Genetic AlgorithmsSurface AnalogyLearningMedical Diagnosis FiguresReferencesRelatedDetailsCited By 16Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) BiocuratorLaurence Rodrigues do Amaral, Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes and Pedro Luiz Lima Bertarini et al.28 Jun 2021Evaluation of Glasgow Coma Score Using Electroencephalogram SignalsFatma Latifoglu, Cigdem Guluzar Altintop, Aynur Karayol Akin, Ramis Ileri and Mehmet Akif Yazar1 Jun 2020An algorithm evaluation for discovering classification rules with gene expression programmingAlain Guerrero-Enamorado, Carlos Morell, Amin Y. Noaman and Sebastián Ventura1 January 2016 | International Journal of Computational Intelligence Systems, Vol. 9, No. 2To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithmsBart Minnaert, David Martens, Manu De Backer and Bart Baesens25 December 2013 | Data Mining and Knowledge Discovery, Vol. 29, No. 1Transgenic: An evolutionary algorithm operatorLaurence Rodrigues do Amaral and Estevam Rafael Hruschka1 Mar 2014 | Neurocomputing, Vol. 127Building high level knowledge from high dimensionality biological dataset (NCI60) using Genetic Algorithms and feature selection strategiesReslley Gabriel Oliveira Silva, Marcos Wagner de Souza Ribeiro and Laurence Rodrigues do Amaral1 Jun 2013Exploring energy aware microarchitectural design space via computationally efficient genetic programmingAbdallah El-Halaby, Mariette Awad and Rahul Khanna1 Nov 2011Transgenic, an operator for evolutionary algorithmsLaurence Rodrigues do Amaral and Estevam Rafael Hruschka1 Jun 2011Cost estimation model for building projects using case-based reasoningSae-Hyun Ji, Moonseo Park and Hyun-Soo Lee1 May 2011 | Canadian Journal of Civil Engineering, Vol. 38, No. 5Human Vein Pattern Segmentation from Low Quality Images – A Comparison of MethodsRafał Kabaciński and Mateusz Kowalski1 Jan 2010Automatic motif discovery in an enzyme database using a genetic algorithm-based approachD. F. Tsunoda and H. S. Lopes10 May 2005 | Soft Computing, Vol. 10, No. 4GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression ProgrammingWagner R. Weinert and Heitor S. Lopes1 Jan 2006An Artificial Immune System for Fuzzy-Rule Induction in Data MiningRoberto T. Alves, Myriam R. Delgado, Heitor S. Lopes and Alex A. Freitas1 Jan 2004Genetic programming for knowledge discovery in chest-pain diagnosisC.C. Bojarczuk, H.S. Lopes and A.A. Freitas1 Jul 2000 | IEEE Engineering in Medicine and Biology Magazine, Vol. 19, No. 4Can a Negative Selection Detect an Extremely few Non-self among Enormous Amount of Self Cells?Akira ImadaDiscovering comprehensible classification rules with a genetic algorithmM.V. Fidelis, H.S. Lopes and A.A. Freitas Genetic Algorithms and Fuzzy Logic SystemsMetrics History KeywordsGenetic AlgorithmsSurface AnalogyLearningMedical DiagnosisPDF download
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