An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers - Artificial Intelligence Applications and Innovations (AIAI 2018) Access content directly
Conference Papers Year : 2018

An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers

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.
Fichier principal
Vignette du fichier
467708_1_En_33_Chapter.pdf (558.63 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01821041 , version 1 (22-06-2018)

Licence

Attribution

Identifiers

Cite

Lucas Rizzo, Ljiljana Majnaric, Pierpaolo Dondio, Luca Longo. An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers. 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.385-397, ⟨10.1007/978-3-319-92007-8_33⟩. ⟨hal-01821041⟩
40 View
39 Download

Altmetric

Share

Gmail Facebook X LinkedIn More