Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.
-
Updated
Feb 11, 2026 - R
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.
Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning
R work for my PhD with the same name
This is an R-toolbox of custom functions for convenient data management and analysis in clinical health research and teaching.
Predicting Stroke from the given attributes
A repository for supplementary considerations required to run certain stroke segmentation algorithms
Add a description, image, and links to the stroke topic page so that developers can more easily learn about it.
To associate your repository with the stroke topic, visit your repo's landing page and select "manage topics."