Bayesian optimisation of personalised models for patient vital-sign monitoring
Gaussian process regression (GPR) provides a means to generate flexible personalised models of timeseries of patient vital signs. These models can perform useful clinical inference in ways that population-based models cannot. A challenge for the use of personalised models is that they must be amenab...
| Main Authors: | , , |
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| Format: | Journal article |
| Published: |
IEEE
2017
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