Planned intervention: On Thursday March 28th 07:00 UTC Zenodo will be unavailable for up to 5 minutes to perform a database upgrade.
Published October 30, 2020 | Version v1
Journal article Open

Early Detection of Parkinson Disease Progression using Gaussian Naïve Bayes Machine Learning Approach by identifying Degeneration in Basal Ganglia Regions

  • 1. Research Scholar, Department of Computer Science and Engineering, VVIET, Visvesvaraya Technological University, Belagavi, India.
  • 2. Professor and Head, Department of Psychiatry, Mysore Medical College, Mysore, India,
  • 1. Publisher

Description

Parkinson's Disease (PD) is a progressive neuro-degenerative disorder that affects millions of people across the globe. Analyzing volume changes in the basal ganglia seems to be a promising approach towards developing non-invasive and non-radioactive neuro-imaging markers for this disease. In this work, we report a study of classification based on the volumes of basal ganglia regions obtained from brain atlas. The study investigates the volume changes in certain anatomical structures of the basal ganglia region of PD affected subjects.

Files

A19221010120.pdf

Files (289.0 kB)

Name Size Download all
md5:1adaee9c2b890ed7c99740c088ddcffc
289.0 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2249-8958 (ISSN)

Subjects

ISSN
2249-8958
Retrieval Number
100.1/ijeat.A19221010120