The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis.

Abstract

PURPOSE To study the effect of data sampling on the predictive assessment of artificial neural networks (ANNs) for medical diagnostic tasks. METHODS Three statistical techniques were used to evaluate the diagnostic performances of ANNs: 1) cross validation, 2) round robin, and 3) bootstrap. These techniques are different sampling plans designed to reduce… (More)

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@article{Tourassi1997TheEO, title={The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis.}, author={Georgia D. Tourassi and Carey E. Floyd}, journal={Medical decision making : an international journal of the Society for Medical Decision Making}, year={1997}, volume={17 2}, pages={186-92} }