<p>Multi-context graph neural networks for enhanced multivariate time-series analysis in healthcare</p>

Luciano Nocera; Arash Hajisafi; Maria Despoina Siampou; Bita Azarijoo; Cyrus Shahabi

doi:10.7490/f1000research.1119946.1

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Nocera L, Hajisafi A, Despoina Siampou M et al. Multi-context graph neural networks for enhanced multivariate time-series analysis in healthcare [version 1; not peer reviewed]. F1000Research 2024, 13:1222 (slides) (https://doi.org/10.7490/f1000research.1119946.1)

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Multi-context graph neural networks for enhanced multivariate time-series analysis in healthcare

Luciano Nocera¹, Arash Hajisafi², Maria Despoina Siampou², Bita Azarijoo², Cyrus Shahabi²

Published 13 Oct 2024 (https://doi.org/10.7490/f1000research.1119946.1)

Author Affiliations

¹ Integrated Media Systems Center, University of Southern California Viterbi School of Engineering, Los Angeles, California, USA
² University of Southern California Viterbi School of Engineering, Los Angeles, California, USA

Copyright © 2024 Nocera L et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 13 Oct 2024

Multi-context graph neural networks for enhanced multivariate time-series analysis in healthcare
[version 1; not peer reviewed]

Luciano Nocera¹, Arash Hajisafi², Maria Despoina Siampou², Bita Azarijoo², Cyrus Shahabi²

Author Affiliations

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Dynamic Graph Neural Network (GNN), Automated Seizure Detection and Classification, EEG Data Analysis

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