Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach

Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor and neuropsychiatric symptoms resulting from the loss of dopamine-producing neurons in the substantia nigra pars compacta (SNc). Dopamine transporter scan (DATSCAN), based on single-photon emission computed tomography (S...

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Bibliographic Details
Main Authors:	Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Bioengineering
Subjects:	Parkinson’s disease DATSCAN machine learning basal ganglia classification AdaBoost
Online Access:	https://www.mdpi.com/2306-5354/12/1/11
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