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Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
BACKGROUND: Classification of the electrocardiogram using Neural Networks has become a widely used method in recent years. The efficiency of these classifiers depends upon a number of factors including network training. Unfortunately, there is a shortage of evidence available to enable specific desi...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2002
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC65522/ https://www.ncbi.nlm.nih.gov/pubmed/11846893 http://dx.doi.org/10.1186/1472-6947-2-1 |