An intelligent Alzheimer’s disease diagnosis method using unsupervised feature learning

An intelligent Alzheimer’s disease diagnosis method using unsupervised feature learning

Abstract Today, the diagnosis of Alzheimer’s disease (AD) or mild cognitive impairment (MCI) has attracted the attention of researchers in this field owing to the increase in the occurrence of the diseases and the need for early diagnosis. Unfortunately, the nature of high dimension of neural data a...

Full description

Bibliographic Details
Main Authors: Firouzeh Razavi, Mohammad Jafar Tarokh, Mahmood Alborzi
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:Journal of Big Data
Subjects:
Alzheimer’s disease
Sparse filtering
Unsupervised feature learning
Intelligent diagnosis
SoftMax regression
Online Access:http://link.springer.com/article/10.1186/s40537-019-0190-7

Internet

http://link.springer.com/article/10.1186/s40537-019-0190-7

Similar Items