Diagnosis of Alzheimer's Disease Using Pearson's Correlation and ReliefF Feature Selection Approach
The study of brain connectivity patterns reveal important information in the understanding of the brain's functional organization. Resting-state functional magnetic resonance imaging (rs-fMRI) is a type of neuroimaging technique that can be used to diagnose a variety of neurological conditions....
Saved in:
Main Authors: | Sadiq, A., Yahya, N., Tang, T.B. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125770255&doi=10.1109%2fDASA53625.2021.9682409&partnerID=40&md5=e91525edd19250503d05b14cabb34e89 http://eprints.utp.edu.my/29122/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
by: Farah Nazlia, Che Kassim, et al.
Published: (2020) -
Classification of Alzheimer's Disease using Low Frequency Fluctuation of rs-fMRI Signals
by: Sadiq, Alishba, et al.
Published: (2021) -
Diagnosis and management of Alzheimer's disease--an update
by: Srinivas, P.
Published: (1999) -
Online signature verification using neural network and Pearson correlation features
by: Iranmanesh, Vahab, et al.
Published: (2013) -
Online signature verification using neural network and pearson correlation features
by: Iranmanesh V., et al.
Published: (2023)