Explaining graph convolutional network predictions for clinicians—An explainable AI approach to Alzheimer's disease classification

IntroductionGraph-based representations are becoming more common in the medical domain, where each node defines a patient, and the edges signify associations between patients, relating individuals with disease and symptoms in a node classification task. In this study, a Graph Convolutional Networks...

Full description

Bibliographic Details
Main Authors: Sule Tekkesinoglu, Sara Pudas
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1334613/full