Artificial Neural Networks and Applications in Biomedical Research
Roger A. Bielefeld
Epidemiology and Biostatistics, Case Western Reserve University
Artificial neural networks (ANNs) have gained renewed popularity as
a means for the construction of predictive models. In particular,
ANNs have frequently been used as the basis for predictive models in
in clinical medicine.
An overview of ANN technology will be presented, primarily from the
point of an engineer rather than that of a statistician.
Some examples of published ANN-based models in medical applications
will be presented. Finally, an in-depth example of an ANN-based
predictive model for an application at University Hospitals of Cleveland
will be presented.