Semantic Harmonization of Alzheimer's Disease Datasets Using AD-Mapper.
J Alzheimers Dis
; 99(4): 1409-1423, 2024.
Article
de En
| MEDLINE
| ID: mdl-38759012
ABSTRACT
Background:
Despite numerous past endeavors for the semantic harmonization of Alzheimer's disease (AD) cohort studies, an automatic tool has yet to be developed.Objective:
As cohort studies form the basis of data-driven analysis, harmonizing them is crucial for cross-cohort analysis. We aimed to accelerate this task by constructing an automatic harmonization tool.Methods:
We created a common data model (CDM) through cross-mapping data from 20 cohorts, three CDMs, and ontology terms, which was then used to fine-tune a BioBERT model. Finally, we evaluated the model using three previously unseen cohorts and compared its performance to a string-matching baseline model.Results:
Here, we present our AD-Mapper interface for automatic harmonization of AD cohort studies, which outperformed a string-matching baseline on previously unseen cohort studies. We showcase our CDM comprising 1218 unique variables.Conclusion:
AD-Mapper leverages semantic similarities in naming conventions across cohorts to improve mapping performance.Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Sémantique
/
Maladie d'Alzheimer
Limites:
Humans
Langue:
En
Journal:
J Alzheimers Dis
Sujet du journal:
GERIATRIA
/
NEUROLOGIA
Année:
2024
Type de document:
Article
Pays d'affiliation:
Allemagne
Pays de publication:
Pays-Bas