Piece-wise affine identification of hybrid dynamical systems, a quite general tool to analyse dynamical data as time series, is briefly reviewed. It is then shown to be a useful tool in order to manage a quite diffuse health impairment, namely the forecasting of the correct length of an individual session of dialysis, with the final outcome of approximating to a switch the transition from the faster initial blood dialysis to the slower inner compartment depletion. (c) 2009 Elsevier Ltd. All rights reserved.

Piece-wise affine identification in dialysis

Liberati;Diego
2009

Abstract

Piece-wise affine identification of hybrid dynamical systems, a quite general tool to analyse dynamical data as time series, is briefly reviewed. It is then shown to be a useful tool in order to manage a quite diffuse health impairment, namely the forecasting of the correct length of an individual session of dialysis, with the final outcome of approximating to a switch the transition from the faster initial blood dialysis to the slower inner compartment depletion. (c) 2009 Elsevier Ltd. All rights reserved.
2009
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Identification
Regression
Inference
Pattern recognition
Clustering
k-means
Dialysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/362394
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