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metadata.dc.type: Artigo de Periódico
Título : An expert system for diagnosis of acute myocardial infarction with ECG analysis
Otros títulos : Artificial Intelligence in Medicine
Autor : Rabelo Júnior, Álvaro
Rocha, Ana Regina
Oliveira, Káithia
Souza, Agnaldo
Ximenes, Antonio
Andrade, Carlos
Onnis, Daniela
Olivaes, Ivan
Lobo, Nelson
Ferreira, Nivea
Werneck, Vera
metadata.dc.creator: Rabelo Júnior, Álvaro
Rocha, Ana Regina
Oliveira, Káithia
Souza, Agnaldo
Ximenes, Antonio
Andrade, Carlos
Onnis, Daniela
Olivaes, Ivan
Lobo, Nelson
Ferreira, Nivea
Werneck, Vera
Resumen : Coronary heart disease is one of the most prevalent and costly health care problems in the world. The early and accurate diagnosis of coronary heart disease is a major problem in emergency settings. However, many primary and secondary hospitals and primary emergency units lack cardiologists on call which makes the diagnosis difficult. This paper describes an expert system for diagnosis of acute myocardial infarction developed to aid physicians without cardiology specialization. Our main goal was to develop an expert system that assists in the diagnosis and indicates the need of hospitalization in a coronary unit.
Palabras clave : Expert systems
Acute myocardial infarction
Software development process
Quality assurance
URI : http://www.repositorio.ufba.br/ri/handle/ri/8343
Fecha de publicación : 1997
Aparece en las colecciones: Artigo Publicado em Periódico (Faculdade de Medicina)

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