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pds_clinicaltrials_covid_19's Introduction

COVID-19 Clinical Trial Studies

This is a Data Science Project that aims to analyze data about COVID-19 Clinical Trial Studies

What is COVID-19 Clinical Trial Studies?

A clinical study involves research using human volunteers that is intended to add to medical knowledge. There are two main types of clinical studies and observational studies.

ClinicalTrials.gov is a Web-based resource maintained by National Library of Medicine (NLM) at the National Institutes of Health (NIH) to provide public information regarding clinical trials.

ClinicalTrials.gov includes both interventions and observational studies.

Rpub

ShinyApp

image

Files

Data

Contain the output of Preprocessing and Row data used in the project

Preprocessing

Contain the Preprcessing Notebooks which has been done in both python and R

modules

Contain script for each page used in the shinyApp

app.R

The app script which uses the the script inside the modules to run

www

Contain images and icons used inside the app

pds_clinicaltrials_covid_19's People

Contributors

yousif4111 avatar

Watchers

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Forkers

alvin855

pds_clinicaltrials_covid_19's Issues

Preprocessing: 'Status' attribute

the column describe if a study is recruiting volunteer to Enroll in the study.
Check the categorical data to make sure all the data has the same form for the same category.

Example:
if the study is recruiting the column will show 'Recruiting'
but sometime it might show for example 'Taking volunteer'

so the goal is to make sure all the categorical data representation has the same form

Preprocessing: 'Interventions' attribute

The column show: what is the procedure the study will apply on the volunteer. the main objective is to make the convert the data in the column in from unique values into categories.

example:
those are some unique values in the data set:

'Drug: REGN10933+REGN10987 combination therapy|Drug: Placebo'
'Drug: Aprotinin'
'Biological: convalescent plasma'
'Biological: COVI-VAC|Other: Placebo'

objective is to make them look like this

'Drug'
'Drug'
'Biological'
'Biological'

you have to cut off a part of the string after the ":"

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