Neural networks (NNs) are being used in the areas of prediction and classif
ication of outcomes in medicine-areas in which regression models have tradi
tionally been used. In this report, we summarize the steps in developing an
d testing an NN. Through applications in clinical research, we present seve
ral examples of NN development and evaluation, Through these applications w
e show that the performance of the NNs matched or exceeded the performance
of traditional methods. We then discuss the advantages and disadvantages of
NN models in comparison to traditional regression methods.