How do experts recognize schizophrenia: the role of the disorganization symptom

Detalhes bibliográficos
Autor(a) principal: Razzouk,Denise
Data de Publicação: 2006
Outros Autores: Mari,Jair de Jesus, Shirakawa,Itiro, Wainer,Jacques, Sigulem,Daniel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462006000100003
Resumo: OBJETIVE: 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.
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spelling How do experts recognize schizophrenia: the role of the disorganization symptomArtificial intelligenceExpert systemsKnowledge acquisitionSchizophreniaPsychotic disordersOBJETIVE: 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.Associação Brasileira de Psiquiatria2006-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462006000100003Brazilian Journal of Psychiatry v.28 n.1 2006reponame:Brazilian Journal of Psychiatry (São Paulo. 1999. Online)instname:Associação Brasileira de Psiquiatria (ABP)instacron:ABP10.1590/S1516-44462006000100003info:eu-repo/semantics/openAccessRazzouk,DeniseMari,Jair de JesusShirakawa,ItiroWainer,JacquesSigulem,Danieleng2006-03-24T00:00:00Zoai:scielo:S1516-44462006000100003Revistahttp://www.bjp.org.br/ahead_of_print.asphttps://old.scielo.br/oai/scielo-oai.php||rbp@abpbrasil.org.br1809-452X1516-4446opendoar:2006-03-24T00:00Brazilian Journal of Psychiatry (São Paulo. 1999. Online) - Associação Brasileira de Psiquiatria (ABP)false
dc.title.none.fl_str_mv How do experts recognize schizophrenia: the role of the disorganization symptom
title How do experts recognize schizophrenia: the role of the disorganization symptom
spellingShingle How do experts recognize schizophrenia: the role of the disorganization symptom
Razzouk,Denise
Artificial intelligence
Expert systems
Knowledge acquisition
Schizophrenia
Psychotic disorders
title_short How do experts recognize schizophrenia: the role of the disorganization symptom
title_full How do experts recognize schizophrenia: the role of the disorganization symptom
title_fullStr How do experts recognize schizophrenia: the role of the disorganization symptom
title_full_unstemmed How do experts recognize schizophrenia: the role of the disorganization symptom
title_sort How do experts recognize schizophrenia: the role of the disorganization symptom
author Razzouk,Denise
author_facet Razzouk,Denise
Mari,Jair de Jesus
Shirakawa,Itiro
Wainer,Jacques
Sigulem,Daniel
author_role author
author2 Mari,Jair de Jesus
Shirakawa,Itiro
Wainer,Jacques
Sigulem,Daniel
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Razzouk,Denise
Mari,Jair de Jesus
Shirakawa,Itiro
Wainer,Jacques
Sigulem,Daniel
dc.subject.por.fl_str_mv Artificial intelligence
Expert systems
Knowledge acquisition
Schizophrenia
Psychotic disorders
topic Artificial intelligence
Expert systems
Knowledge acquisition
Schizophrenia
Psychotic disorders
description OBJETIVE: 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.
publishDate 2006
dc.date.none.fl_str_mv 2006-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462006000100003
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1516-44462006000100003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Psiquiatria
publisher.none.fl_str_mv Associação Brasileira de Psiquiatria
dc.source.none.fl_str_mv Brazilian Journal of Psychiatry v.28 n.1 2006
reponame:Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
instname:Associação Brasileira de Psiquiatria (ABP)
instacron:ABP
instname_str Associação Brasileira de Psiquiatria (ABP)
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reponame_str Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
collection Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
repository.name.fl_str_mv Brazilian Journal of Psychiatry (São Paulo. 1999. Online) - Associação Brasileira de Psiquiatria (ABP)
repository.mail.fl_str_mv ||rbp@abpbrasil.org.br
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