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Fabien Richard

dblp:241/2172 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › clinical informatics
clinical data management
0.412019
Presenting and sharing clinical data using the eTRIKS Standards Master Tree for tranSMART · Bioinform. 2019
Medical and health informatics › clinical informatics
clinical data integration
0.112019
Presenting and sharing clinical data using the eTRIKS Standards Master Tree for tranSMART · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

ETL · 0.4CDISC SDTM · 0.4
YearPublicationVenuePosition
2019 Presenting and sharing clinical data using the eTRIKS Standards Master Tree for tranSMART
abstract
MOTIVATION: Standardization and semantic alignment have been considered one of the major challenges for data integration in clinical research. The inclusion of the CDISC SDTM clinical data standard into the tranSMART i2b2 via a guiding master ontology tree positively impacts and supports the efficacy of data sharing, visualization and exploration across datasets. RESULTS: We present here a schema for the organization of SDTM variables into the tranSMART i2b2 tree along with a script and test dataset to exemplify the mapping strategy. The eTRIKS master tree concept is demonstrated by making use of fictitious data generated for four patients, including 16 SDTM clinical domains. We describe how the usage of correct visit names and data labels can help to integrate multiple readouts per patient and avoid ETL crashes when running a tranSMART loading routine. AVAILABILITY AND IMPLEMENTATION: The eTRIKS Master Tree package and test datasets are publicly available at https://doi.org/10.5281/zenodo.1009098 and a functional demo installation at https://public.etriks.org/transmart/datasetExplorer/ under eTRIKS-Master Tree branch, where the discussed examples can be visualized.
Adriano Barbosa-Silva, Dorina Bratfalean, Venkata P. Satagopam, Paul Houston, Lauren B. Becnel, Serge Eifes, Fabien Richard, Andreas Tielmann, Sascha Herzinger, Kavita Rege, Rudi Balling, Paul Peeters
Bioinform.8