/sclero-patient-prediction

Web application (front and backend) using ML to predict Scleroderma outcomes for patients

Primary LanguageHTML

This project is with Dr. Suchi Saria's Lab at Johns Hopkins University.
See a live demo HERE !

Overview:

This project was designed as a physician-facing application for the real time analysis of Scleroderma patient outcomes using a subtyping machine learning model. This model can be perused in detail here. Funding for this project was provided by the National Science Foundation.

Installation:

Move to directory with launch.R in it. Launch application from the terminal by executing the following:

rscript launch.R

This should open the application in your default browser. Press ctrl-c to stop the server.

*Note: R is required, and this will load all dependent packages.

Contact:

Zachary Barnes: zach.a.barnes@gmail.com
Peter Schulam: pschulam@gmail.com