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+Modeling Clinical Trial Patient Attrition Using Machine Learning: A case study using 1,325 Respiratory Trials.
+---------------------------------------------------------------------------------------------------------------
+This file is the readme.txt file for the data folder
+
+
+TABLE OF CONTENTS
+-----------------
+
+* Full Author List 
+
+* Introduction
+
+* Folder Contents
+
+* Contact
+
+
+Full Author List
+----------------
+Emmette Hutchison, Youyi Zhang, Sreenath Nampally, Imran Khan Neelufer, Vlad Malkov, Jim Weatherall, Faisal Khan and Khader Shameer
+
+Introduction
+------------
+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
+----------------
+This folder contains the data files that were used in the analysis. The file descriptions are listed below:
+
+|--data
+    |
+    |---- readme.txt:  readme file for the data folder            
+    |
+    |---- analysis_ready: This folder contains the analysis_ready data that is used for the primary model. This
+    |                     folder contains below files:-
+			
+			|-----Indexed_Analysis_Ready.csv 
+ 
+			|-----Indexed_Analysis_Ready_Data_Dictionary.xlsx
+
+
+Contact
+--------
+shameer.khader@astrazeneca.com