GOTM: a Goal-Oriented Framework for Capturing Uncertainty of Medical Treatments

TL;DR

This paper introduces GOTM, a goal-oriented fuzzy framework for modeling and analyzing uncertainties in medical treatment plans, addressing a gap in existing diagnostic-focused models.

Contribution

It presents a novel fuzzy-based formal framework specifically designed to capture and analyze uncertainties in medical treatments, expanding beyond diagnosis.

Findings

Developed a formal, goal-oriented modeling framework

Applied fuzzy techniques to treatment uncertainty

Enables better decision-making in medical treatment planning

Abstract

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.