Descriptive Analysis on Three Glioblastoma EHRs Datasets
Descriptive statistics table for the munich2019dataset
Descriptive statistic table for the tainan2020dataset
Descriptive statistic table for the utrecht2019dataset
glioblastomaEHRsData: Descriptive analysis on 3 EHRs datasets
Declarations for glibal variables
Munich2019datasetDescriptiveStatistics
Plot variables from the munich2019dataset
Plot variables from the tainan2020dataset
Plot variables from the utrecht2019dataset
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saveTable
Tainan2020datasetDescriptiveStatistics
Utrecht2019datasetDescriptiveStatistics
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). <doi:10.1007/s41666-023-00138-1>.