Evaluating artificial neural networks for medical applications

Harry B. Burke*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The validity and usefulness of an artificial neural network depends on whether an appropriate measure is used to assess its accuracy and whether the artificial neural network is significantly more accurate than traditional statistical models for the medical task. We discuss a method for determining whether an artificial neural network is necessary for the task, how to select the most appropriate measure of model accuracy, and the importance of significance testing.

Original languageEnglish
Title of host publication1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages2494-2496
Number of pages3
DOIs
StatePublished - 1997
Externally publishedYes
Event1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States
Duration: 9 Jun 199712 Jun 1997

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume4
ISSN (Print)1098-7576

Conference

Conference1997 IEEE International Conference on Neural Networks, ICNN 1997
Country/TerritoryUnited States
CityHouston, TX
Period9/06/9712/06/97

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