Machine Learning for Early Parkinson’s Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features

Machine Learning for Early Parkinson’s Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features

Early Parkinson’s Disease (PD) diagnosis is a critical challenge in the treatment process. Meeting this challenge allows appropriate planning for patients. However, Scan Without Evidence of Dopaminergic Deficit (SWEDD) is a heterogeneous group of PD patients and Healthy Controls (HC) in clinical and...

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Bibliographic Details
Main Authors: Hajer Khachnaoui, Nawres Khlifa, Rostom Mabrouk
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Journal of Imaging
Subjects:
Machine Learning
SPECT imaging
Parkinson’s Disease
SWEDD
clustering algorithms
Online Access:https://www.mdpi.com/2313-433X/8/4/97

Internet

https://www.mdpi.com/2313-433X/8/4/97

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