Study on medical diagnosis decision support system for heart diseases based on hybrid genetic algorithm / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 302-305, 2004.
Artigo
em Chinês
| WPRIM
| ID: wpr-291125
ABSTRACT
In this study, a medical diagnosis decision support system based on hybrid genetic algorithm has been established to support the diagnosis of five common heart diseases (coronary heart disease, rheumatic valvular heart disease, hypertensive heart disease, chronic cor pulmonale and congenital heart disease). A heart disease database consisting of 352 samples was used for constructing and testing the performance of system. Cross-validation of the experimental results indicate that the system we established shows high capability of classifying these five kinds of heart diseases, the mean accuracy of classification is as high as 90.6%, and the user accuracy and procedure accuracy of each disease are both above 85.0%, showing great application prospect of supporting heart diseases diagnosis in clinics.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Doença Cardiopulmonar
/
Cardiopatia Reumática
/
Algoritmos
/
Árvores de Decisões
/
Doença das Coronárias
/
Sistemas de Apoio a Decisões Clínicas
/
Diagnóstico
/
Técnicas de Diagnóstico Cardiovascular
/
Genética
/
Cardiopatias
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2004
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS