Title:
Fast-neural-network-learning
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Description: Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly perform the forecasting tasks and
may be a satisfactory substitute for laboratory tests. Artificial
neural networks represent a promising alternative to
classical statistical and mathematical methods to solve
multidimensional nonlinear problems. It also represents a
promising forecasting application in nephrology. In this
study, multilayer perceptron (MLP) neural network with
fast learning algorithms is used for the accurate prediction
of the post-dialysis blood urea concentration
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