Data-driven Markov models and their application in the evaluation of adverse events in radiotherapy

Data-driven Markov models and their application in the evaluation of adverse events in radiotherapy

Decision-making processes in medicine rely increasingly on modelling and simulation techniques; they are especially useful when combining evidence from multiple sources. Markov models are frequently used to synthesize the available evidence for such simulation studies, by describing disease and trea...

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Bibliographic Details
Main Authors:	Abler, Daniel, Kanellopoulos, Vassiliki, Davies, Jim, Dosanjh, Manjit, Jena, Raj, Kirkby, Norman, Peach, Ken
Format:	Online
Language:	English
Published:	Oxford University Press 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3700509/

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