Title :
Evaluating artificial neural networks for medical applications
Author_Institution :
Dept. of Med., New York Med. Coll., Valhalla, NY, USA
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614681
