It has been widely recognized that uncertainty is an inevitable aspect of diagnosis and treatment of medical disorders. Such uncertainties hence, need to be considered in computerized medical models. The existing medical modeling techniques however, have mainly focused on capturing uncertainty associated with diagnosis of medical disorders while ignoring uncertainty of treatments. To tackle this issue, we have proposed using a fuzzy-based modeling and description technique for capturing uncertainties in treatment plans. We have further contributed a formal framework which allows for goal-oriented modeling and analysis of medical treatments.
@article{arxiv.1612.02904,
title = {GOTM: a Goal-Oriented Framework for Capturing Uncertainty of Medical Treatments},
author = {Davoud Mougouei and David Powers},
journal= {arXiv preprint arXiv:1612.02904},
year = {2020}
}