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

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...

Full description

Bibliographic Details
Main Authors: Weiming Lin, Qinquan Gao, Jiangnan Yuan, Zhiying Chen, Chenwei Feng, Weisheng Chen, Min Du, Tong Tong
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer’s disease
extreme learning machine
mild cognitive impairment
multimodal
prediction
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2020.00077/full

Internet

https://www.frontiersin.org/article/10.3389/fnagi.2020.00077/full

Similar Items