EventsMOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Event submissions
Published
with-doi10.3390/mol2net-09-14350 (registering DOI)
This submission belongs to the session 05. USEDAT.NET: USA-Europe Data Analysis Trends & Complex Networks Mini Congress Series, Coruña, SP-Miami, USA, 2023 of the event MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published date
19 Apr, 2023
Academic Editor
author-avatarHumbert G. Díaz
Citation
Maider Baltasar Marchueta, Computational Methods Applied to Alzheimer’s Disease, in Proceedings of MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25 December–31 December 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-09-14350
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Computational Methods Applied to Alzheimer’s Disease

Maider Baltasar Marchueta 1
1. Departamento de química orgánica e inorgánica, Universidad del País Vasco
Abstract

Alzheimer's disease (AD), the most common type of dementia in older people, causes
neurological problems associated with memory and thinking. Different computational analysis could
act as useful tools in gaining more information about the development of the disease or potential target
drugs. That is why different computational methods will be reviewed.

Keywords
Computational Science
Alzheimer's Disease
AD prediction
Machine Learning
Manuscript
Computational Methods Applied to Alzheimer’s Disease.pdf
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