An SBM-based machine learning model for identifying mild cognitive impairment in patients with Parkinson's disease-Reference-Cited by-同舟云学术

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An SBM-based machine learning model for identifying mild cognitive impairment in patients with Parkinson's disease

Published:2020-11 Issue: Volume:418 Page:117077
ISSN:0022-510X
Container-title:Journal of the Neurological Sciences
language:en
Short-container-title:Journal of the Neurological Sciences

Author:

Zhang Jiahui,Li You,Gao Yuyuan,Hu Jinlong,Huang Biao,Rong Siming,Chen Jianing,Zhang Yuhu,Wang Limin,Feng Shujun,Wang Lijuan,Nie Kun

Funder

National Natural Science Foundation of China

Guangdong Natural Science Foundation

National Key R&D Program of China

Fundamental Research Funds for the Central Universities

Key Program of Natural Science Foundation of Guangdong Province, China

Guangzhou Municipal People's Livelihood Science and Technology Project

Publisher

Elsevier BV

Subject

Clinical Neurology,Neurology

Reference49 articles.

1. Epidemiology of Parkinson’s disease;Tysnes;J. Neural Transm. (Vienna),2017

2. The spectrum of nonmotor symptoms in early Parkinson disease;Khoo;Neurology,2013

3. The impact of non-motor symptoms on the health-related quality of life of Parkinson’s disease patients from Southwest China;Song;Parkinsonism Relat. Disord.,2014

4. Health-related quality of life in early Parkinson’s disease: the impact of nonmotor symptoms;Duncan;Mov. Disord.,2014

5. Executive functions in Parkinson’s disease: systematic review and meta-analysis;Kudlicka;Mov. Disord.,2011

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4. Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: A systematic review;PLOS ONE;2024-05-16

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