Early Detection of Parkinson's Disease Using Deep Learning and Machine Learning

• Published in: IEEE access Vol. 8; p. 1
• Main Authors: Wang, Wu, Lee, Junho, Harrou, Fouzi, Sun, Ying
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biomarkers; Cerebrospinal fluid; Deep learning; Early detection; Ensemble learning; Feature extraction; Features importance; Machine learning; Model accuracy; Parkinson's disease; Premotor features; Single photon emission computed tomography

Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable for slowing down its progress and providing patients the possibility of accessing to disease-modifying therapy. Towards this end, the premotor stage in PD should be carefully monitored. An innovative deep...