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A general microsimulation toolkit for patient specific predictions, treatment efficiency and life expectancy
| Content Provider | Semantic Scholar |
|---|---|
| Author | Barendse, Rogier Battes, Linda C. Kardys, Isabella Takkenberg, Hanneke Putten, Niek Van Der Boersma, Eric |
| Copyright Year | 2011 |
| Abstract | 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. |
| Starting Page | 561 |
| Ending Page | 564 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Journal | 2011 Computing in Cardiology |
| Alternate Webpage(s) | http://cinc.org/archives/2011/pdf/0561.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
