Paper Info
Title
Cohort Creation And Visualization Using Graph Model In The Predimed Health Data Warehouse
Abstract
Grenoble Alpes University Hospital (CHUGA) is currently deploying a health data warehouse called PREDIMED [1], a platform designed to integrate and analyze for research, education and institutional management the data of patients treated at CHUGA. PREDIMED contains healthcare data, administrative data and, potentially, data from external databases. PREDIMED is hosted by the CHUGA Information Systems Department and benefits from its strict security rules. CHUGA's institutional project PREDIMED aims to collaborate with similar projects in France and worldwide. In this paper, we present how the data model defined to implement PREDIMED at CHUGA is useful for medical experts to interactively build a cohort of patients and to visualize this cohort.
Year
DOI
Venue
2020
10.3233/SHTI200132
DIGITAL PERSONALIZED HEALTH AND MEDICINE
Keywords
DocType
Volume
Complex and massive data, medical informatics, health data warehouse, cohorts, data visualization
Conference
270
ISSN
Citations 
PageRank 
0926-9630
0
0.34
References 
Authors
0
27
Name
Order
Citations
PageRank
Christophe Cancé100.34
Pierre-Ephrem Madiot200.34
Christian Lenne300.34
Svetlana Artemova400.34
Brigitte Cohard500.34
Marjolaine Bodin600.34
Alban Caporossi700.34
Jean-François Blatier800.34
Jerôme Fauconnier900.34
Frédérique Olive1000.34
Daniel Pagonis1100.34
Dominique Le Magny1200.34
Jean-Luc Bosson13206.04
Katia Charriere1400.34
Ivan Paturel1500.34
Bruno Lavaire1600.34
Gabriel Schummer1700.34
Joseph Eterno1800.34
Jean-Noël Ravey1900.34
Ivan Bricault2000.34
Gilbert Ferretti2100.34
Sébastien Chanoine2200.34
Pierrick Bedouch2300.34
Emmanuel Barbier2400.34
Julien Thevenon2500.34
Pascal Mossuz2600.34
Alexandre Moreau-Gaudry2700.34