A computer program that can predict who will survive a stroke is being used to identify the causes of incontinence.
Information on pressures in the bladder and flow rates will be fed into a computer by Mike Horan of the University of Manchester. The program will identify factors relevant to predicting the causes of incontinence. These will be fed into a neural net that will evaluate the information to identify the most important predictive factors. The technique is more accurate than standard statistics.
From the Health Span Conference, October 1, University of Manchester (see above)