dc.creatorRazzouk, D
dc.creatorMari, JD
dc.creatorShirakawa, I
dc.creatorWainer, J
dc.creatorSigulem, D
dc.date2006
dc.dateMAR
dc.date2014-11-14T03:42:50Z
dc.date2015-11-26T17:13:00Z
dc.date2014-11-14T03:42:50Z
dc.date2015-11-26T17:13:00Z
dc.date.accessioned2018-03-29T00:01:24Z
dc.date.available2018-03-29T00:01:24Z
dc.identifierRevista Brasileira De Psiquiatria. Associacao Brasileira De Psiquiatria, v. 28, n. 1, n. 5, n. 9, 2006.
dc.identifier1516-4446
dc.identifierWOS:000236016600003
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/69711
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/69711
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/69711
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1281467
dc.descriptionObjective: Research on clinical reasoning has been useful in developing expert systems. These tools are based on Artificial Intelligence techniques which assist the physician in the diagnosis of complex diseases. The development of these systems is based on a cognitive model extracted through the identification of the clinical reasoning patterns applied by experts within the clinical decision-making context. This study describes the method of knowledge acquisition for the identification of the triggering symptoms used in the reasoning of three experts for the diagnosis of schizophrenia. Method: Three experts on schizophrenia, from two University centers in Sao Paulo, were interviewed and asked to identify and to represent the triggering symptoms for the diagnosis of schizophrenia according to the graph methodology. Results: Graph methodology showed a remarkable disagreement on how the three experts established their diagnosis of schizophrenia. They differed in their choice of triggering-symptoms for the diagnosis of schizophrenia: disorganization, blunted affect and thought disturbances. Conclusions: The results indicate substantial differences between the experts as to their diagnostic reasoning patterns, probably under the influence of different theoretical tendencies. The disorganization symptom was considered to be the more appropriate to represent the heterogeneity of schizophrenia and also, to further develop an expert system for the diagnosis of schizophrenia.
dc.description28
dc.description1
dc.description5
dc.description9
dc.languageen
dc.publisherAssociacao Brasileira De Psiquiatria
dc.publisherSao Paulo
dc.publisherBrasil
dc.relationRevista Brasileira De Psiquiatria
dc.relationRev. Bras. Psiquiatr.
dc.rightsaberto
dc.sourceWeb of Science
dc.subjectartificial intelligence
dc.subjectexpert systems
dc.subjectknowledge acquisition
dc.subjectschizophrenia
dc.subjectpsychotic disorders
dc.subjectDecision-support Systems
dc.subjectArtificial-intelligence
dc.subjectKnowledge Acquisition
dc.subjectDiagnosis
dc.subjectHeterogeneity
dc.subjectPsychiatry
dc.subjectPatterns
dc.subjectModels
dc.titleHow do experts recognize schizophrenia: the role of the disorganization symptom
dc.typeArtículos de revistas


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