Multimodal deep learning framework for Parkinson’s Disease analysis using physiological, gait, and voice data with LSTM, GRU, and hybrid LSTM-GRU models.
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Updated
Sep 13, 2026 - Jupyter Notebook
Multimodal deep learning framework for Parkinson’s Disease analysis using physiological, gait, and voice data with LSTM, GRU, and hybrid LSTM-GRU models.
Repository for visualization codes done in collaboration with Harvard University LTI lab
This repository contains soure code for research paper accepted at Learning Analytics and Knowledge Conference 2023
Supplementary material for 'Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities' (AIED 2024)
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