Artificial Neural Networks As an Aid to Medical Decision Making: Comparing Statistical Resampling Techniques with the Train-and-test Technique for Validation of Sparse Data Sets

T. L. Huston, A. E. Smith, and J. M. Twomey

The volume of computer-generated patient data currently available to the health care practitioner must be managed effectively to be of practical use in enhancing the treatment of the patient. Not only might he or she be overwhelmed by this data, but certain legal consequences are a threat if the data is available but underutilized or mis-utilized. One method for managing this data is by the use of computerized assistance in the form of Artificial Neural Networks (ANNs). This method has been shown to be capable of finding patterns data sets that can not be found by a human being or by other statistical techniques.

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