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R engine cell: integrating R into the i2b2 software infrastructure.

Daniele Segagni1, Fulvia Ferrazzi, Cristiana Larizza

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Summary
This summary is machine-generated.

A new R Engine Cell integrates R statistical software with the i2b2 informatics platform, enabling survival analyses for inherited arrhythmogenic diseases research.

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Area of Science:

  • Biomedical Informatics
  • Biostatistics
  • Cardiology Research

Background:

  • The Informatics for Integrating Biology and the Bedside (i2b2) initiative supports biomedical research through informatics infrastructure.
  • The University of Pavia integrated i2b2 with an inherited arrhythmogenic diseases registry.

Purpose of the Study:

  • To develop a novel i2b2 cell, the R Engine Cell, for seamless integration with R statistical software.
  • To enable routine survival analyses, specifically Kaplan-Meier analyses, within the i2b2 web interface for cardiology researchers.

Main Methods:

  • Developed a novel R Engine Cell to facilitate communication between i2b2 and R.
  • Created a web-client plug-in for patient set selection and graphical display of survival analysis results.
  • Designed the R Engine Cell for easy integration of additional R-based statistical analyses.

Main Results:

  • Successfully integrated R statistical software capabilities into the i2b2 platform via the R Engine Cell.
  • Enabled cardiology researchers to perform and visualize Kaplan-Meier survival analyses directly within the i2b2 web interface.
  • Demonstrated the R Engine Cell's potential for incorporating diverse R statistical methodologies into i2b2.

Conclusions:

  • The R Engine Cell enhances the i2b2 platform by enabling advanced statistical analyses, such as survival analysis.
  • This integration facilitates more sophisticated research on inherited arrhythmogenic diseases by leveraging R's statistical power.
  • The R Engine Cell provides a flexible framework for future expansion of i2b2 with other R-based statistical tools.