IEEE

Multitask Deep Learning for Predicting Parkinson’s Progression and Depression From Multimodal Time Series Data

Abstract: The high cases of Parkinson’s disease (PD) in the senior generation require reliable PD progression prediction. PD can be associated with depression as a common non-motor symptom. Depression ...
IEEE

QFS-MSGRU: Quantum Feature Selection Approach Integrate With Multi-Scale GRU Networks for Robust Parkinson’s Disease Prediction

Abstract: Parkinson’s disease (PD) is a neurodegenerative disorder, and early diagnosis is a critical challenge due to the complexity of symptoms and heterogeneity of speech-based biomarkers.