Article

Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction

2025-08-20

Abstract excerpt

This study addresses the challenges of symptom evolution complexity and insufficient temporal dependency modeling in Parkinson's disease progression prediction. It proposes a unified prediction framework that integrates structural perception and temporal modeling. The method leverages graph neural networks to model the structural relationships among multimodal clinical symptoms and introduces graph-based represent...

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Literature Corpus work: 155aba43-2c67-5411-8927-aca5cd2bfac3
DOI: 10.20944/preprints202508.1506.v1

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