Monitoring renal transplants: an application of the multiprocess Kalman filter.

Abstract

The multiprocess Kalman filter offers a powerful general framework for the modelling and analysis of noisy time series which are subject to abrupt changes in pattern. It has considerable potential application to many forms of biological series used in clinical monitoring. In particular, the approach can be used to provide on-line probabilities of whether… (More)

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