Descriptive Analysis on Three Glioblastoma EHRs Datasets

Provides functions to load and analyze three open Electronic Health Records (EHRs) datasets of patients diagnosed with glioblastoma, previously released under the Creative Common Attribution 4.0 International (CC BY 4.0) license. Users can generate basic descriptive statistics, frequency tables and save descriptive summary tables, as well as create and export univariate or bivariate plots. The package is designed to work with the included datasets and to facilitate quick exploratory data analysis and reporting. More information about these three datasets of EHRs of patients with glioblastoma can be found in this article: Gabriel Cerono, Ombretta Melaiu, and Davide Chicco, 'Clinical feature ranking based on ensemble machine learning reveals top survival factors for glioblastoma multiforme', Journal of Healthcare Informatics Research 8, 1-18 (March 2024). .

glioblastomaEHRsData

R package for generating descriptive statistics in forms of tables and plots for 3 specific datasets containing information about patients suffering from Glioblastoma Multiforme (GM).

Datasets

Munich2019dataset

The dataset can be found here with the relative study and relevant information.

Tainan2020dataset

The dataset can be found here with the relative study and relevant information.

Utrecht2020dataset

The dataset can be found here with the relative study and relevant information.

Installation

The most common way to install R packages is through CRAN:

# The best way to install the package is using the CRAN mirror
install.packages("glioblastomaEHRsData")

# To load the package after installation
library(glioblastomaEHRsData)

The Github version of the package can be installed using the devtools package:

# Using devtools to install the package from GitHub
install.packages("devtools")
devtools::install_github("username/glioblastomaEHRsData")

Or even using a tar.gz version of the package built by yourself, even if it is not recommended.