Argumentation Networks and Healthcare Diagnostics

Diagnostics for rare genetic disorders can take years. The diagnostic process requires teamwork between healthcare personnel with various educational backgrounds and perspectives. In this project, the student will investigate ontology-based argumentation networks for ‘slow’ genetic disease diagnostics. 

A diagnostic team consists of a clinician, a clinical geneticist, lab technicians, as well as other professionals. The patient is observed to have a suspected genetic disorder and genetic tests are ordered. The process involves iterative hypothesis generation and refutation until the diagnosis is determined. The information that is passed between institutional departments includes requisitions, genetic test results and suggested diagnoses. 

In this project, the student will:

  • investigate which kind of argumentation network is suitable for this
  • demonstrate how to link this to existing ontologies about (rare) diseases
  • implement a prototype that provides suitable (zoom-able) views on these networks  
  • discuss whether these views could support communication between clinicians and lab technicians   
  1. Boella, Guido, Dov M. Gabbay, Leendert van der Torre, and Serena Villata. 2009. “Meta-Argumentation Modelling I: Methodology and Techniques.” Studia Logica. An International Journal for Symbolic Logic 93 (2-3): 297–355.
  2. Qassas, Malik Al, Malik Al Qassas, Daniela Fogli, Massimiliano Giacomin, and Giovanni Guida. 2015. “Analysis of Clinical Discussions Based on Argumentation Schemes.” Procedia Computer Science 64: 282–89.

 

Emneord: logic in computer science, Artificial intelligence
Publisert 24. sep. 2018 13:24 - Sist endret 24. sep. 2018 13:24

Omfang (studiepoeng)

60