An ontology-based approach for modelling and querying Alzheimer's disease data.

ABSTRACT:

Background

The recent advances in biotechnology and computer science have led to an ever-increasing availability of public biomedical data distributed in large databases worldwide. However, these data collections are far from being "standardized" so to be harmonized or even integrated, making it impossible to fully exploit the latest machine learning technologies for the analysis of data themselves. Hence, facing this huge flow of biomedical data is a challenging task for researchers and clinicians due to their complexity and high heterogeneity. This is the case of neurodegenerative diseases and the Alzheimer's Disease (AD) in whose context specialized data collections such as the one by the Alzheimer's Disease Neuroimaging Initiative (ADNI) are maintained.

Methods

Ontologie

SUBMITTER: Taglino F 

PROVIDER: S-EPMC10408169 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature