{"id":20837770,"url":"https://github.com/astrazeneca/ctelc-patient-attrition-model","last_synced_at":"2025-10-04T22:42:10.614Z","repository":{"id":103037413,"uuid":"319334845","full_name":"AstraZeneca/CTELC-Patient-Attrition-Model","owner":"AstraZeneca","description":"Clinical Trial Enrollment Life Cycle (CTELC) modeling project aims to leverage \"industry-wide\" data to understand key drivers and build predictive models. 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The versions of RStudio and R are listed below:\nRStudio 1.0.44, which can be downloaded from https://rstudio.com/products/rstudio/download/ \nR 3.5.2 (2018-12-20). RStudio can be installed from https://cran.r-project.org/mirrors.html\n\nThe project requires the following R packages. The version numbers indicate the version of the packages \nthat were used in the analysis. Please install the following packages using the command below in your R\nEnvironment\n\n\tSuperLearner==2.0-26\n\tMASS==7.3-51.5\n\tranger==0.12.1\n\tipred==0.9-9\n\tkernlab==0.9-29\n\tarm==1.10-1\n\tdplyr==1.4.2\n\tcaret==6.0-84\n\tparallel==3.5.2\n\nFolder Contents\n----------------\nThis folder contains the data files that was used in the analysis. The file descriptions are listed below:\n\n```\n|---- readme.md :  readme file for the data folder\n|\n|---- code : This folder contains the code required for the pre-processing of raw data and running the predictive model results,\n|\t\t\t further explanation is available in a readme file within this folder\n|\n|---- data:  This folder contains two sub-folders, another readme file in the folder will explain the overview on each folder content.\n\t\t|---- analysis_ready\n|---- requirments.txt : is a file which lists the libraries used in the model building exercise, this file can be used to install the packages needed.\n|\t\t\n|\t\tUsing command \"Install.Packages(\"package name\") one can easily install the required packages\n```\n\nContact\n--------\nshameer.khader@astrazeneca.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fastrazeneca%2Fctelc-patient-attrition-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fastrazeneca%2Fctelc-patient-attrition-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fastrazeneca%2Fctelc-patient-attrition-model/lists"}