Early Detection of Parkinson's Disease using Motor Symptoms and Machine Learning

Poojaa C, John Sahaya Rani Alex
4/18/2023
cs.LGq-bio.QM

No confident code implementation found for this paper. 4 possible matches can be shown below.

Abstract

Parkinson's disease (PD) has been found to affect 1 out of every 1000 people, being more inclined towards the population above 60 years. Leveraging wearable-systems to find accurate biomarkers for diagnosis has become the need of the hour, especially for a neurodegenerative condition like Parkinson's. This work aims at focusing on early-occurring, common symptoms, such as motor and gait related parameters to arrive at a quantitative analysis on the feasibility of an economical and a robust wearable device. A subset of the Parkinson's Progression Markers Initiative (PPMI), PPMI Gait dataset has been utilised for feature-selection after a thorough analysis with various Machine Learning algorithms. Identified influential features has then been used to test real-time data for early detection of Parkinson Syndrome, with a model accuracy of 91.9%

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 4 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

An experimental study for early diagnosing Parkinson's disease using machine learning

87% match2023

Parkinson's Disease Detection through Vocal Biomarkers and Advanced Machine Learning Algorithms

86% match2023

Explainable AI and Machine Learning Towards Human Gait Deterioration Analysis

85% match2023

Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data

85% match2025

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities

85% match2025

Using AI to Measure Parkinson's Disease Severity at Home

84% match1 repo152023

Cite this paper

@article{c2023early,
  title  = {Early Detection of Parkinson's Disease using Motor Symptoms and Machine Learning},
  author = {Poojaa C and John Sahaya Rani Alex},
  year   = {2023},
  eprint = {2304.09245},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.09245v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2304.09245.svg)](https://codeofpaper.com/paper/2304.09245)

Discussion