Modeling Clinical Trial Patient Attrition Using Machine Learning: A case study using 1,325 Respiratory Trials.
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This file is the readme.txt file for the code folder that contains the R code that was used in the model


TABLE OF CONTENTS
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* Full Author List 

* Introduction

* Folder Contents

* Contact



Full Author List
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Emmette Hutchison, Youyi Zhang, Sreenath Nampally, Imran Khan Neelufer, Vlad Malkov, Jim Weatherall, Faisal Khan and Khader Shameer


Introduction
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Patient attrition, also referred to as dropout or patient withdrawal, occurs when patients enrolled 
in a clinical trial either withdraw or are lost to follow-up by the clinical site and trial sponsor.


Folder Contents
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This folder contains the data files that were used in the analysis. The file descriptions are listed below:

|--code
    |
    |---- readme.txt:  readme file for the data folder
    |
    |
    |---- 2_Model_Code.R: This is the main modeling R code that is developed to perform the random forest predictive model. It uses the 	  
    |                        Indexed_Analysis_Ready.csv file from the data/raw folder for model  
    |                        and for the generation of charts and statistics. This file can be opened and executed from 
    |                        the in the RStudio by setting the appropriate working directory path to the 'raw' folder 
    |                        of this package



Contact
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shameer.khader@astrazeneca.com