Predicting Alzheimer’s Disease Conversion From Mild Cognitive Impairment Using an Extreme Learning Machine-Based Grading Method With Multimodal Data

Identifying patients with mild cognitive impairment (MCI) who are at high risk of progressing to Alzheimer’s disease (AD) is crucial for early treatment of AD. However, it is difficult to predict the cognitive states of patients. This study developed an extreme learning machine (ELM)-based grading m...

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Dades bibliogràfiques
Publicat a:Front Aging Neurosci
Autors principals: Lin, Weiming, Gao, Qinquan, Yuan, Jiangnan, Chen, Zhiying, Feng, Chenwei, Chen, Weisheng, Du, Min, Tong, Tong
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2020
Matèries:
Neuroscience
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7140986/
https://ncbi.nlm.nih.gov/pubmed/32296326
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2020.00077
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