Sometimes representing a decision process involves building multi-stage models, where some outputs of stagei become the inputs of stagei+1. This was the case for an economic evaluation study of two mini-invasive techniques for head&neck cancer, namely Transoral Robotic Surgery and Transoral Laser Microsurgery. We built a two-stage model, composed by a first decision tree ac-counting for the surgical complications and need for additional treatments, which in turn are used as initial conditions for a second decision tree that models long-term outcomes through a Markov process. To allow the automatic concatenation of decision trees, we developed a Java extension to the TreeAgePro software, a well-known tool for decision analysis. Moreover, we integrated the resulting model into UceWeb, a framework we developed over the last two years, which allows personalizing costs and preferences for different target populations. In this way the same model may be re-used to perform cost/utility and cost/effectiveness analysis in different settings.
CITATION STYLE
Salvi, E., Parimbelli, E., Sacchi, L., Quaglini, S., Maggi, E., Duchoud, L., … Simon, C. (2019). Towards the economic evaluation of two mini-invasive surgical techniques for head&neck cancer: A customizable model for different populations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11526 LNAI, pp. 155–159). Springer Verlag. https://doi.org/10.1007/978-3-030-21642-9_21
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