Multi-Source Data ETL (Extract, Transform, Load) for a Genetic Epilepsy Diagnosis and Treatment Dashboard.

Common Data Model Data Standardization ETL Epilepsy Genetics

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
22 Aug 2024
Historique:
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 23 8 2024
Statut: ppublish

Résumé

The growing number of genes identified in relation to epilepsy represents a major breakthrough in diagnosis and treatment, but experts face the challenge of efficiently accessing and consolidating the vast amount of genetic data available. Therefore, we present the process of transforming data from different sources and formats into an Entity-Attribute-Value (EAV) model database. Combined with the use of standard coding systems, this approach will provide a scalable and adaptable database to present the data in a comprehensive way to experts via a dashboard.

Identifiants

pubmed: 39176748
pii: SHTI240418
doi: 10.3233/SHTI240418
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

354-355

Auteurs

Ariadna Pérez Garriga (A)

Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Philipp Honrath (P)

Department of Epileptology and Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Stefan Wolking (S)

Department of Epileptology and Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Beatrice Coldewey (B)

Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Susann A Bozkir (SA)

Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Patrick May (P)

Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.

Yvonne Weber (Y)

Department of Epileptology and Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Rainer Röhrig (R)

Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Myriam Lipprandt (M)

Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.

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Classifications MeSH