DocumentCode
3252143
Title
Evaluating artificial neural networks for medical applications
Author
Burke, Harry B.
Author_Institution
Dept. of Med., New York Med. Coll., Valhalla, NY, USA
Volume
4
fYear
1997
fDate
9-12 Jun 1997
Firstpage
2494
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
Keywords
medical computing; neural nets; performance evaluation; medical computing; model accuracy; model selection; neural networks; task selection; Artificial neural networks; Biomedical equipment; Calibration; Demography; Educational institutions; Logistics; Medical services; Predictive models; Statistical analysis; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614681
Filename
614681
Link To Document