Artificial Neural Networks are mathematical models resembling the brain behavior. They have the ability to learn from the environment and produce responses as a consequence of this learning process. They were broadly used in medicine both as a classification model as well as a prediction tool. In hemodialysis they were used for molecular modeling in the estimation of equilibrated urea concentration, as a monitoring strategy for online treatment analysis and also for bed side models for hemodialysis adequacy evaluation. In this chapter the basic concepts of artificial neural models are introduced and a complete application in equilibrated urea estimation in hemodialized patients is presented. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Fernández, E. A., Valtuille, R., & Balzarini, M. (2013). Artificial neural networks applications in dialysis. Studies in Computational Intelligence, 405, 1145–1179. https://doi.org/10.1007/978-3-642-27558-6_8
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