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Predicting First-Year Survival after Percutaneous Coronary Interventions: A Machine Learning-Based ShinyApp Web Application in R

Home Page: https://primace.aikadeh.com

License: Other

R 95.59% Dockerfile 0.88% JavaScript 0.85% CSS 2.68%
shiny shiny-apps shiny-r shinyapps shinydashboard artificial-intelligence machine-learning github-actions cardiology cardiovascular

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primace's Issues

Adding survival probability

For prediction of individual we can add survival probability of each time also overal survival probabilty curv.

Create models archive

We can create a models archive dir in s3 bucket and put each trained model in it.
And another dir for better models.

Gh-pages branch

To hetter manage gh-pages a separate branch is better to be dedicated to it.

mariaDB as database

We can use official mariaDB package to connect to database.
And use mariaDB as DBaas.

Add read_data_s3()

Add read_data_s3() function to utilities.R to read dataset object from aws s3 bucket

Analytics page improvement

I think analytics page should have more informative content such as MACE number and MACE in each subgroub.

change paas server

it seems LIARA paas server has shut down, so it is necessary to change paas provider asap

Add bash file to `check-new-dataset` step in workflow

For step check-new-datase of R-MLOps-check workflow, we can use a shell script like as follows:

#!/bin/bash
echo "FILE_STAT=$(Rscript helper/check_lastModification.R)" 
if [ $FILE_STAT == NULL ]
then
    echo "no dataset detected"
elif [ $FILE_STAT == FALSE ]
then
    echo "dataset has not been modified" 
else
    Rscript -e "primace::preprocessing()"
fi

Load test

Applying load test on web site to assess its performance in high turn over situations

add diverting page from shinyapps.io host

because the size of the docker image is large, and shinyapps.io host for free has limitted resources, so I suggest to add a simple webpage in shinyapps.io host with a link to redirect users to primace.aikadeh.com

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