An investigation of argumentation theory for the prediction of survival in elderly using biomarkers

Lucas Rizzo, Ljiljana Majnaric, Pierpaolo Dondio, Luca Longo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Research on the discovery, classification and validation of biological markers, or biomarkers, have grown extensively in the last decades. Newfound and correctly validated biomarkers have great potential as prognostic and diagnostic indicators, but present a complex relationship with pertinent endpoints such as survival or other diseases manifestations. This research proposes the use of computational argumentation theory as a starting point for the resolution of this problem for cases in which a large amount of data is unavailable. A knowledge-base containing 51 different biomarkers and their association with mortality risks in elderly was provided by a clinician. It was applied for the construction of several argument-based models capable of inferring survival or not. The prediction accuracy and sensitivity of these models were investigated, showing how these are in line with inductive classification using decision trees with limited data.

Original languageEnglish
Title of host publicationArtificial Intelligence Applications and Innovations - 14th IFIP WG 12.5 International Conference, AIAI 2018, Proceedings
EditorsLazaros Iliadis, Vassilis Plagianakos, Ilias Maglogiannis
PublisherSpringer New York LLC
Pages385-397
Number of pages13
ISBN (Print)9783319920061
DOIs
Publication statusPublished - 2018
Event14th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2018 - Rhodes, Greece
Duration: 25 May 201827 May 2018

Publication series

NameIFIP Advances in Information and Communication Technology
Volume519
ISSN (Print)1868-4238

Conference

Conference14th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2018
Country/TerritoryGreece
CityRhodes
Period25/05/1827/05/18

Keywords

  • Argumentation theory
  • Biomarkers
  • Defeasible reasoning

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