TY - JOUR
T1 - R Engine Cell
T2 - Integrating R into the i2b2 software infrastructure
AU - Segagni, Daniele
AU - Ferrazzi, Fulvia
AU - Larizza, Cristiana
AU - Tibollo, Valentina
AU - Napolitano, Carlo
AU - Priori, Silvia G.
AU - Bellazzi, Riccardo
PY - 2011/5
Y1 - 2011/5
N2 - Informatics for Integrating Biology and the Bedside (i2b2) is an initiative funded by the NIH that aims at building an informatics infrastructure to support biomedical research. The University of Pavia has recently integrated i2b2 infrastructure with a registry of inherited arrhythmogenic diseases. Within this project, the authors created a novel i2b2 cell, named R Engine Cell, which allows the communication between i2b2 and the R statistical software. As survival analyses are routinely performed by cardiology researchers, the authors have first concentrated on making KaplaneMeier analyses available within the i2b2 web interface. To this aim, the authors developed a web-client plug-in to select the patient set on which to perform the analysis and to display the results in a graphical, intuitive way. R Engine Cell has been designed to easily support the integration of other R-based statistical analyses into i2b2.
AB - Informatics for Integrating Biology and the Bedside (i2b2) is an initiative funded by the NIH that aims at building an informatics infrastructure to support biomedical research. The University of Pavia has recently integrated i2b2 infrastructure with a registry of inherited arrhythmogenic diseases. Within this project, the authors created a novel i2b2 cell, named R Engine Cell, which allows the communication between i2b2 and the R statistical software. As survival analyses are routinely performed by cardiology researchers, the authors have first concentrated on making KaplaneMeier analyses available within the i2b2 web interface. To this aim, the authors developed a web-client plug-in to select the patient set on which to perform the analysis and to display the results in a graphical, intuitive way. R Engine Cell has been designed to easily support the integration of other R-based statistical analyses into i2b2.
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U2 - 10.1136/jamia.2010.007914
DO - 10.1136/jamia.2010.007914
M3 - Article
C2 - 21262924
AN - SCOPUS:79958291150
VL - 18
SP - 314
EP - 317
JO - Journal of the American Medical Informatics Association : JAMIA
JF - Journal of the American Medical Informatics Association : JAMIA
SN - 1067-5027
IS - 3
ER -