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

12/09/2016
by   Davoud Mougouei, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/07/2017

A New Medical Diagnosis Method Based on Z-Numbers

How to handle uncertainty in medical diagnosis is an open issue. In this...
research
10/24/2022

Dynamic Treatment Regimes using Bayesian Additive Regression Trees for Censored Outcomes

To achieve the goal of providing the best possible care to each patient,...
research
05/23/2019

Shades of Dark Uncertainty and Consensus Value for the Newtonian Constant of Gravitation

The Newtonian constant of gravitation, G, stands out in the landscape of...
research
08/08/2019

Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part II: Uncertainty Assessments

In this second part of our two-part paper, we provide a detailed, freque...
research
05/18/2022

Agent-Based modeling in Medical Research. Example in Health Economics

This chapter presents the main lines of agent based modeling in the fiel...
research
09/20/2022

Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study

Conformance checking is a process mining technique that allows verifying...

Please sign up or login with your details

Forgot password? Click here to reset