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| Artificial neural networks (ANNs), also known as neurocomputational models, are computer algorithms that attempt to simulate the parallel, highly interactive distributed processing in brain tissue. But how does brain function relate to the analysis of predictive data sets with binary outcomes? Below, we describe the biostatistical application of ANNs to the analysis of observational health care data, in the form of what we call “neurostatistical” modeling. The methods are generally applicable, however, to any complex data. | |
| Posted on:26 Jul 2001 | |