PRONA (Patient Reported Outcomes Network Analysis)

PRONA allows users to perform symptom network analysis using patient reported outcomes data. PRONA not only consolidates previous network analysis tools into a unified, easy-to-use analysis pipeline, but also augments the traditional approach with functionality for performing unsupervised discovery of patient subgroups with distinct symptom patterns. For more details, see our publication in Bioinformatics overviewing the PRONA package: Bergsneider & Celiku, Bioinformatics, 2024.

To install the PRONA package in R, use the following command:

if(!require("devtools")) install.packages("devtools")
library(devtools)
devtools::install_github("bbergsneider/PRONA")

For how to use PRONA, follow these vignettes:

1. Introduction
2. Network accuracy and stability assessment
3. Concordance-based clustering of patient communities

For use case examples, see Bergsneider et al, Neuro-Oncology Advances, 2022 and Bergsneider et al, Cancer Medicine, 2024.