Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks

Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks

This paper introduces a novel approach for classifying multidimensional physiological and clinical data using Synolitic Graph Neural Networks (SGNNs). SGNNs are particularly good for addressing the challenges posed by high-dimensional datasets, particularly in healthcare, where traditional machine l...

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Bibliographic Details
Main Authors: Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Technologies
Subjects:
networks
data analysis
graph neural networks
Online Access:https://www.mdpi.com/2227-7080/13/1/13
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