Using Artificial Neural Network as a Tool for Epidemiological Data Analysis

  • Sebastian Polak
  • Aleksander Mendyk
  • Jerzy Brandys
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)


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.


Artificial Neural Network Heart Attack Sensitivity Analysis Result Total Health Care Cost Good Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sebastian Polak
    • 1
  • Aleksander Mendyk
    • 2
  • Jerzy Brandys
    • 1
  1. 1.Department of Pharmacoeconomics, Chair of Toxicology, Faculty of PharmacyJagiellonian UniversityCracowPoland
  2. 2.Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of PharmacyJagiellonian UniversityCracowPoland

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