A general microsimulation toolkit for patient specific predictions, treatment efficiency and life expectancy

A general microsimulation toolkit for patient specific predictions, treatment efficiency and life expectancy

Microsimulation can be used to predict the prognosis of an individual patient based on a virtual patient population of copies of that patient. In this study we compare the outcomes of an existing validated microsimulation program that is designed to study valvular heart disease and a newly developed...

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Hauptverfasser: Barendse, R., Battes, L., Kardys, I., Takkenberg, H., van der Putten, N., Boersma, E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computational modeling
Diseases
Heart
Mathematical model
Software
Surgery
Valves
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creator Barendse, R.
Battes, L.
Kardys, I.
Takkenberg, H.
van der Putten, N.
Boersma, E.
description Microsimulation can be used to predict the prognosis of an individual patient based on a virtual patient population of copies of that patient. In this study we compare the outcomes of an existing validated microsimulation program that is designed to study valvular heart disease and a newly developed microsimulation program that is designed to study heart diseases in general. We studied in depth the results of both systems to model the prognosis of a 40 year old male patient undergoing allograft surgery. Furthermore we studied the model results in relation to age and sex to provide a general overview of the most important outcome variables including operative mortality, average survival time, average event free time and average time to reoperation. Our results show a good agreement between the two systems regarding all simulations of allograft surgery. We intend to use the newly developed software to explore other disease/event related prognostic models.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computational modeling
Diseases
Heart
Mathematical model
Software
Surgery
Valves
title A general microsimulation toolkit for patient specific predictions, treatment efficiency and life expectancy
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