Development of R Packages for the Machine Learning for Learning Health Systems Lab – UROP Spring Symposium 2021

Development of R Packages for the Machine Learning for Learning Health Systems Lab

Kiran Sequeira


Pronouns: She/Her/Hers

Research Mentor(s): Karandeep Singh, Assistant Professor of Medicine
Research Mentor School/College/Department: Internal Medicine and Learning Health Sciences, Michigan Medicine
Presentation Date: Thursday, April 22, 2021
Session: Session 5 (3pm-3:50pm)
Breakout Room: Room 16
Presenter: 2

Event Link


Awareness and adoption of machine learning (ML) are growing in the medical field, where ML models can support clinical decision-making when linked to interventions. The process of developing and evaluating ML models is an important precursor to their deployment in a health setting. This process can be made transparent, reliable, and reproducible through the development and dissemination of open-source software packages. My project focuses on the development and dissemination of runway, an R package that evaluates and compares prediction models using statistics and plots. My primary aim is to understand the lifecycle of an R package””from creation to completion to dissemination””by working through each of the steps in the runway package. Fixing issues submitted to the GitHub page for runway and using Git to update changes to the package were important steps in the process of preparing for submission to the Comprehensive R Archive Network. Runway is in the final stages of development. The final product will be submitted to CRAN, making it widely available and easy to install for researchers around the world.

Authors: Kiran Sequeira, Karandeep Singh
Research Method: Computer Programming

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