TY - GEN
T1 - Evaluating artificial neural networks for medical applications
AU - Burke, Harry B.
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0030658711&partnerID=8YFLogxK
U2 - 10.1109/ICNN.1997.614681
DO - 10.1109/ICNN.1997.614681
M3 - Conference contribution
AN - SCOPUS:0030658711
SN - 0780341228
SN - 9780780341227
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 2494
EP - 2496
BT - 1997 IEEE International Conference on Neural Networks, ICNN 1997
T2 - 1997 IEEE International Conference on Neural Networks, ICNN 1997
Y2 - 9 June 1997 through 12 June 1997
ER -