Data/hora: 03/06/2024 01:25:21

Provedor de dados: 	56	
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	
Fonte: 	info:eu-repo/semantics/openAccess