Predicting Cognitive Impairment from Polysomnography using Graph Neural Networks

Friederike Seyderhelm A. Hauschild Gesa Klukaschewski T. Steinbrinker M. C. Maurer K. Steinhaus

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TL;DR

A graph neural network (GNN)-based framework that models PSG data as a structured graph, where each physiological channel constitutes a node and functional relationships are encoded as edges, offering untapped potential for early detection of cognitive impairment.

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