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Dirichlet process cluster kernel
(Master thesis; Mastergradsoppgave, 2017-05-16)
This thesis aims to apply the Dirichlet process mixture model to the cluster kernel framework. The probabilistic cluster kernel is extended with a Bayesian nonparametric model to avoid critical parameters within the model. The Dirichlet process cluster kernel demonstrate advantages compared to the probabilistic cluster kernel in both classification and clustering. Additionally, the two dimensional ...
Modelling and analysis of health care services using regression and Markov models
(Master thesis; Mastergradsoppgave, 2017-05-12)
Using data from electronic health records this thesis aims to model and analyse health care services provided to adult patients with chronic conditions.
Two aspects of health care services, with unique aims, have been examined.
The first aspect is related to the aim of investigating factors affecting the patients' self experienced quality of the health care encounters with regards to satisfaction, ...