Abstract
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.
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Fernández, E.A., Valtuille, R., Balzarini, M. (2013). Artificial Neural Networks Applications in Dialysis. In: Azar, A. (eds) Modeling and Control of Dialysis Systems. Studies in Computational Intelligence, vol 405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27558-6_8
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DOI: https://doi.org/10.1007/978-3-642-27558-6_8
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