Keynote Talks

Professor Francesca Toni (Imperial College London)

Argumentation-based clinical decision support system in ROAD2H

I will describe recent efforts within the ROAD2H project (www.road2h.org) to build a decision support system able to reconcile guidelines providing conflicting recommendations for patients with comorbidities, and taking into account national and regional specificities and data.

Professor Wlodek Zadrozny (University of North Carolina in Charlotte, previously IBM T.J. Watson Research Center)

Detecting and representing contradictions and disagreements in medical guidelines

I will describe some of our work on text mining and building representations of contradictory information in medical guidelines. The talk will span from discussing specific architectures we have been using to some very abstract formal representations, and discuss many gaps that would need to be addressed before we can build reasoning systems to support humans in medical decision making in this space. This is joint work with my student Hossein Hematialam and Dr. Luciana Garbayo from U. Central Florida.

Programme

• Invited paper: Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions by Nadin Kokciyan, Isabel Karen Sassoon, Anthony Peter Young, Martin David Chapman, Talya Rica Porat, Mark Ashworth, Vasa Curcin, Sanjay Modgil, Simon Dominic Parsons, Elizabeth Ida Sklar from the AAAI Joint Workshop on Health Intelligence (W3PHIAI 2018)

Accepted papers:

• Argumentation for Explainable Reasoning with Conflicting Medical Recommendations by Kristijonas Čyras, Brendan Delaney, Denys Prociuk, Francesca Toni, Martin Chapman, Jesús Domínguez and Vasa Curcin
• Automatically Identifying Drug Conflicts in Clinical Practice Guidelines by António Silva, Tiago Oliveira, Paulo Novais and Ken Satoh
• Filtering Clinical Guideline Interactions with Pre-conditions: A Case study on Diabetes Guideline by Veruska Carretta Zamborlini, Roelof van der Heijden and Annette ten Teije