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Provedor de dados:  BJMBR
País:  Brazil
Título:  Decision support system for the diagnosis of schizophrenia disorders
Autores:  Razzouk,D.
Mari,J.J.
Shirakawa,I.
Wainer,J.
Sigulem,D.
Data:  2006-01-01
Ano:  2006
Palavras-chave:  Clinical decision support systems
Artificial intelligence
Decision making
Expert systems
Schizophrenia
Medical informatics
Resumo:  Clinical decision support systems are useful tools for assisting physicians to diagnose complex illnesses. Schizophrenia is a complex, heterogeneous and incapacitating mental disorder that should be detected as early as possible to avoid a most serious outcome. These artificial intelligence systems might be useful in the early detection of schizophrenia disorder. The objective of the present study was to describe the development of such a clinical decision support system for the diagnosis of schizophrenia spectrum disorders (SADDESQ). The development of this system is described in four stages: knowledge acquisition, knowledge organization, the development of a computer-assisted model, and the evaluation of the system's performance. The knowledge was extracted from an expert through open interviews. These interviews aimed to explore the expert's diagnostic decision-making process for the diagnosis of schizophrenia. A graph methodology was employed to identify the elements involved in the reasoning process. Knowledge was first organized and modeled by means of algorithms and then transferred to a computational model created by the covering approach. The performance assessment involved the comparison of the diagnoses of 38 clinical vignettes between an expert and the SADDESQ. The results showed a relatively low rate of misclassification (18-34%) and a good performance by SADDESQ in the diagnosis of schizophrenia, with an accuracy of 66-82%. The accuracy was higher when schizophreniform disorder was considered as the presence of schizophrenia disorder. Although these results are preliminary, the SADDESQ has exhibited a satisfactory performance, which needs to be further evaluated within a clinical setting.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2006000100014
Editor:  Associação Brasileira de Divulgação Científica
Relação:  10.1590/S0100-879X2006000100014
Formato:  text/html
Fonte:  Brazilian Journal of Medical and Biological Research v.39 n.1 2006
Direitos:  info:eu-repo/semantics/openAccess
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