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https://repositorio.ufba.br/handle/ri/8343
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) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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Rabelo Jr.pdf Restricted Access | 1,94 MB | Adobe PDF | Visualizar/Abrir Request a copy |
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