Abstract
The importance of socio-economic part of medicine still increases. This study was performed to investigate abilities to use Artificial Neural Network as a tool for epidemiological data analysis. Back-propagation neural networks were simulated on own-written software. The sensitivity analysis results of created models suggest that ANN are able to discover most significant factors for studied output and as a consequence of this could be helpful for medical policy makers in decision process.
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© 2003 Springer-Verlag Berlin Heidelberg
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Polak, S., Mendyk, A., Brandys, J. (2003). Using Artificial Neural Network as a Tool for Epidemiological Data Analysis. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_74
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_74
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
Online ISBN: 978-3-7908-1902-1
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