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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...
| Autores principales: | , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1093/jrr/rrt040 http://cds.cern.ch/record/1606525 |