Clinical pathway clustering using graph b-colouring and Markov models
by Haytham Elghazel, Veronique Deslandres, Kassem Kallel, Alain Dussauchoy
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 3, No. 1/2, 2010

Abstract: In this paper, a framework for clustering clinical pathways is proposed which is based on a hybrid model that uses the recent b-colouring clustering approach coupled with Markov chain models. The approach allows firstly associating each cluster with a set of dominant sequences which guarantee robust partitioning and gives a solution to the cluster representation problem. Then, each cluster is governed by a finite-state Markov chain model. These models can be used for predicting possible paths when a new patient is admitted for example, in order to help medical professionals to plan resources for the clinical process.

Online publication date: Mon, 30-Nov-2009

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