Machine Learning for Early Detection of Cognitive Decline in Parkinson’s Disease Using Multimodal Biomarker and Clinical Data

Machine Learning for Early Detection of Cognitive Decline in Parkinson’s Disease Using Multimodal Biomarker and Clinical Data

<b>Background</b>: Parkinson’s disease (PD) is the second most common neurodegenerative disease, primarily affecting the middle-aged to elderly population. Among its nonmotor symptoms, cognitive decline (CD) is a precursor to dementia and represents a critical target for early risk asses...

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Main Authors: Raziyeh Mohammadi, Samuel Y. E. Ng, Jayne Y. Tan, Adeline S. L. Ng, Xiao Deng, Xinyi Choi, Dede L. Heng, Shermyn Neo, Zheyu Xu, Kay-Yaw Tay, Wing-Lok Au, Eng-King Tan, Louis C. S. Tan, Ewout W. Steyerberg, William Greene, Seyed Ehsan Saffari
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Biomedicines
Subjects:
neurodegenerative disease
cognitive dysfunction
Parkinson’s disease
early diagnosis
risk assessment
machine learning
Online Access:https://www.mdpi.com/2227-9059/12/12/2758
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