Toolkit to asses speech impairments in patients with neurological disorders

proposed early detection method for parkinson's disease using deep learning on MRI dataset

To monitor gait patterns to detect freezing of gait. Done as part of the Singapore Science Mentorship Programme + CS4131 module + extended.

A Machine Learning Approach for the Diagnosis of Parkinson's Disease via Speech Analysis

Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

Parkinson detection based on wave sketches and deep learning - PDS

This is a Deep Learning model to predict whether the person has Parkinson's disease or not. This project won the "best AI and Data Science project" at the Equinox hackathon.

Characterization of beta bursts in Parkinson's patients and healthy controls

Research Methods and Tools

My works on Parkinson's Disease Predictions with various methods like voice, wearable's data and more.

BoldContacts site implemented as SvelteKit

This software application is meant to predict whether or not the user has Parkinson's Disease based on the kinematics of their handwriting.

This is the solution to a kaggle competition done as Data Science Course-Project exploring and applying various Data Science techniques whose code, final report is provided in repo. The kaggle submission link is attached here.

The research-based project where we created a program that gave us the basic initiation on which classification algorithm would be best for prediction of Parkinson's disease using dataset available on UCI ML repository.

This repository contains code to voice based PD detection part of my thesis .

Data Curation, Winter 2021

Code to process the fNIRS data of Parkinson's Disease Patients and matched controls available in Guevara, E., et al. Zenodo. https://doi.org/10.5281/zenodo.7966830

A machine learning model using multiple classification algorithms for analysis and prediction of Parkinson disease.