Early Detection of Parkinson Disease Progression using Gaussian Naïve Bayes Machine Learning Approach by identifying Degeneration in Basal Ganglia Regions
| Autor: | Raveesh B N, M B Sanjaypande, Madhusudhana G K |
|---|---|
| Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
Parkinson's disease business.industry Gaussian Brain atlas Disease progression General Engineering 100.1/ijeat.A19221010120 Early detection Degeneration (medical) 2249-8958 medicine.disease Computer Science Applications Naive Bayes classifier symbols.namesake Basal ganglia symbols Medicine basal ganglia brain atlas neuro-degenerative disorder Parkinson's disease sense organs business Neuroscience |
| Zdroj: | International Journal of Engineering and Advanced Technology. 10:433-435 |
| ISSN: | 2249-8958 |
| DOI: | 10.35940/ijeat.a1922.1010120 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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