Multi-Source Data ETL (Extract, Transform, Load) for a Genetic Epilepsy Diagnosis and Treatment Dashboard
Studies in health technology and informatics, vol. 316, pp. 354–355
Abstract
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.
Authors 9
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Department of Epileptology and Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Department of Epileptology and Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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University of Luxembourg · Luxembourg Centre for Systems Biomedicine
Affiliation as printed
Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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Affiliation as printed
Department of Epileptology and Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
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