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 Kaplan-Meier 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.

R Engine Cell: integrating R into the i2b2 software infrastructure.

FERRAZZI, FULVIA;LARIZZA, CRISTIANA;Napolitano C;PRIORI, SILVIA GIULIANA;BELLAZZI, RICCARDO
2011-01-01

Abstract

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 Kaplan-Meier 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.
2011
Computer Science & Engineering includes resources on computer hardware and architecture, computer software, software engineering and design, computer graphics, programming languages, theoretical computing, computing methodologies, broad computing topics, and interdisciplinary computer applications.
Medical Research, Diagnosis & Treatment contains studies of existing and developing diagnostic and therapeutic techniques, as well as specific classes of clinical intervention. Resources in this category emphasize the difference between normal and disease states, with the ultimate goal of more effective diagnosis and intervention. Specific areas of interest include pathology and histochemical analysis of tissue, clinical chemistry and biochemical analysis of medical samples, diagnostic imaging, radiology and radiation, surgical research, anesthesiology and anesthesia, transplantation, artificial tissues, and medical implants. Resources focused on the disease, diagnosis, and treatment of specific organs or physiological systems are excluded and are covered in the Medical Research: Organs & Systems category.
Information Systems & Communications Technology covers resources concerned with the technical aspects of information systems and information technology, including the acquisition, processing, storage, management, and dissemination of information. This category also covers the technical aspects of communications via various devices and systems.
Esperti anonimi
Inglese
Internazionale
STAMPA
18
1
314
317
4
Translational Bioinformatics; Biomedical Informatics; Web services; R
6
info:eu-repo/semantics/article
262
Segagni, D; Ferrazzi, Fulvia; Larizza, Cristiana; Tibollo, V; Napolitano, C; Priori, SILVIA GIULIANA; Bellazzi, Riccardo
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/223664
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