This repository contains all applicable files required for the final project, which was to create an R Shiny app with the intent being to visualize data using techniques and principles from the course, DATA 824 - Data Visualization and Acquisition.
The data used for this project utilized Alzheimer's and MRI data downloaded from Kaggle. The data is made publicly available as part of the Open Access Series of Imaging Studies (OASIS) project. The original data file specifically used was the oasis_cross-sectional.csv. For more information about the project, please review the project presentation. This presentation will walk through the the entire project from downloading the file from Kaggle to highlighting the R Shiny app, which predicts whether a patient has dementia based on a set of model features.
The app was built using R via RStudio and the R package, Shiny.
The files necessary to run the app are:
Open the R file and be sure to change the directory (see image below) to where the above files are located on your local machine. The R code has a predefined directory/path that is specific to wacorda's local machine.
Note: If the directory is not changed to a directory on your local machine, the app will fail to run.
There should be no other required changes to the code other than ensuring the directory/path on your local machine is where the final_data.RDS and model_svmrad.RDS are located. If you run into issues please contact wacorda@kumc.edu.