iARRIVE: an incremental algorithm for robust relative influence values elicitation

S.E. Hegazy, C.D. Buckingham

Research output: Chapter in Book/Published conference outputConference publication

Abstract

This paper proposes an incremental approach to solving node weightings in a tree structure. The tree represents expertise used to quantify risks associated with mentalhealth problems and it is incorporated within a webbased decision support system called GRiST. The aim of the algorithm is to find the set of relative node weightings in the tree that helps GRiST simulate the clinical risk judgements given by mentalhealth experts. This paper extends the solution presented in our earlier ARRIVE algorithm, to incorporate a larger pool of data and previous cases in the solution, hence producing better elicitation results. It is also useful in incorporating new cases into the GRiST tree parameters estimation process, one by one as they are encountered. The original ARRIVE algorithm showed that a very large number of nodes (several thousand for GRiST) can have their weights calculated from the clinical judgements associated with a few hundred cases (about 200 for GRiST). The new algorithm, iARRiVE, allows GRiST to learn by updating the node weightings to account for new cases. The results show that it can provide the best fit to an unlimited set of cases and thus ensure GRiST parameters provide the optimal solution for all the cases in its memory. Its solution can be applied to similar knowledgeengineering domains where relative weightings of node siblings are part of the parameter space.

Original languageEnglish
Title of host publicationProceedings, International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages239-244
Number of pages6
ISBN (Print)978-0-7695-3532-6
DOIs
Publication statusPublished - 10 Apr 2009
EventInternational Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009 - Cancun, Mexico
Duration: 1 Feb 20097 Feb 2009

Conference

ConferenceInternational Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009
Country/TerritoryMexico
CityCancun
Period1/02/097/02/09

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