"A new approach for detection Alzheimer's Disease with machine learning ..."

Ahmed Samir et al. (2021)

> Home

Details and statistics

DOI: 10.1109/CCWC51732.2021.9376121

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ccwc/SamirSEHSAEEAHS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ccwc/SamirSEHSAEEAHS21
Ahmed Samir, Fairuz Soufy, Omar Ehab, Sara Hassan, Lobna Shaheen, Ashraf AbdelRaouf, Nourhan Elsamanodie, Omar Eldemerdash, Rawan AL-Kady, Lamiaa N. Hammad, Mohamed H. Shahin:
A new approach for detection Alzheimer's Disease with machine learning using Whole Genomic and Single Nucleotide Polymorphism-Chip data. CCWC 2021: 1535-1540

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.