Linear dynamic modelling and Bayesian forecasting of tumor evolution

We consider a linear dynamic model for tumor growth evolution. A number of temporal statistical models for tumor growth exist in the literature. In the majority of these cases the employed models are formulated in a deterministic context, providing no information on their uncertainty. Some of these...

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Bibliographische Detailangaben

Hauptverfasser:	Achilleos, A., Loizides, C., Stylianopoulos, T., Mitsis, G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation models Bayesian forecasting Cancer Forecasting Gompertz-law of growth Linear Dynamic Modeling Mice mouse xenograft model Personalized sequential tumor growth prediction Predictive models Tumors Uncertainty
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