Published February 11, 2025 | Version v1
Dataset Open

Comprehensive Multi-Modal Dataset for Parkinson's Disease Prediction

Authors/Creators

  • 1. Department of Electronics and Communication Engineering, Rajiv Gandhi University of Knowledge Technologies, Basar, Telangana, India-504107

Contributors

  • 1. Department of Electronics and Communication Engineering, Rajiv Gandhi University of Knowledge Technologies, Basar, Telangana, India-504107

Description

This dataset integrates cerebrospinal fluid (CSF) mass spectrometry (CSF-MS) readings, clinical assessments (UPDRS scores), and gait analysis to provide a multi-modal evaluation of Parkinson’s disease progression.

Acknowledgments

We extend our gratitude to the organizations and researchers who provided the raw datasets that made this study possible:

Additionally, we acknowledge the MDS-UPDRS clinical framework for Parkinson’s disease assessment.

Files

Final_Integrated_MultiModal_Dataset.csv

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