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

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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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Detalles Bibliográficos
Autores principales: Abler, Daniel, Kanellopoulos, Vassiliki, Davies, Jim, Dosanjh, Manjit, Jena, Raj, Kirkby, Norman, Peach, Ken
Lenguaje:eng
Publicado: 2013
Materias:
Health Physics and Radiation Effects
Acceso en línea:https://dx.doi.org/10.1093/jrr/rrt040
http://cds.cern.ch/record/1606525
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