Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data

Parkinson's disease (PD) is known as an irreversible neurodegenerative disease that mainly affects the patient's motor system. Early classification and regression of PD are essential to slow down this degenerative process from its onset. In this article, a novel adaptive unsupervised featu...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 33; číslo 8; s. 3357 - 3371
Hlavní autoři:	Huang, Zhongwei, Lei, Haijun, Chen, Guoliang, Frangi, Alejandro F., Xu, Yanwu, Elazab, Ahmed, Qin, Jing, Lei, Baiying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive control Algorithms Biomedical imaging Classification clinical score prediction Data structures Diseases Embedding embedding learning Feature extraction Iterative methods longitudinal multimodal data Lung Machine learning Manifolds (mathematics) Movement disorders Neurodegenerative diseases Optimization Parkinson's disease Parkinson’s disease (PD) Regression Similarity Sparse matrices sparse regression Task analysis Ultrasonic imaging
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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