Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms
Alzheimer’s disease (AD) is a chronic, progressive neurodegenerative disorder that typically affects elderly individuals. Detecting Alzheimer’s using plasma proteins is a critical step toward improving treatment results for this disease. This study aims to use computational algorithms to explore th...
Saved in:
Main Authors: | Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik |
---|---|
Format: | Article |
Language: | English |
Published: |
IMS Vogosca
2025-02-01
|
Series: | Science, Engineering and Technology |
Subjects: | |
Online Access: | https://www.setjournal.com/SET/article/view/189 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing non-invasive molecular markers for early risk assessment of Alzheimer's disease
by: Tapas K. Sur, et al.
Published: (2025-06-01) -
The Science of Memory Loss: Insights into Alzheimer’s Disease
by: Agnieszka Starzyk, et al.
Published: (2025-02-01) -
Pregnancy-Associated Plasma Protein-A: Its Significance as a Single Biomarker for Adverse Obstetric Outcomes
by: Madhusudan Dey, et al.
Published: (2023-12-01) -
Extracellular vesicles (EVs) in seminal plasma of buffalo bulls possess spermatozoa specific fertility associated proteins and enzymes
by: Rakesh Kumar, et al.
Published: (2023-11-01) -
Systematic review of amyloid-beta clearance proteins from the brain to the periphery: implications for Alzheimer’s disease diagnosis and therapeutic targets
by: Letian Huang, et al.
Published: (2025-12-01)