Prediction of the clinical outcome of COVID-19 patients using T lymphocyte subsets with 340 cases from Wuhan, China: a retrospective cohort study and a web visualization tool

Qibin Liu; Xuemin Fang; Shinichi Tokuno; Ungil Chung; Xianxiang Chen; Xiyong Dai; Xiaoyu Liu; Feng Xu; Bing Wang; Peng Peng

We have also uploaded a dummy date set with de-identified and randomly modified patient data , as well as all the source code used for the current analysis as well as the interactive web application to: https://github.com/mindy-fang/COVID-19. All of our source code were written with the R programming language and the interactive web application was developed with the shiny package [19] [20] [21] (Rstudio Version 1.2.1335, R version 3.6.0). Other fellow researchers can substitute the dummy data with their own data, or modify the source code to make their own applications. Meanwhile we will keep updating our reference panel as we include more patients, so that the algorithm would gain more and more statistical power over time.