covid-90data

COVID-19 patients data and the R script for the analysis (Chen X. et al, Research on Influencing Factors and Classification of patients with mild and severe COVID-19 Symptoms)

90_neut_all.csv

complete data from the original 90 patients after interpolation

myTable_90finally.csv

Descriptive statistical tables of original data (90_neut_all.csv)

smotedata_nlr_finally.csv

data generated by SMOTE class balance

myTablesmote_finally.csv

Descriptive statistical tables of SMOTE class balance data (smotedata_nlr_finally.csv)

train_data_finally.csv and test_data_finally.csv

The SMOTE class balance data set was divided into two sets, train set and test set. The ratio of people in the two sets was 7:3. These data are used for random forest analysis.

rfimportance_finally2.csv

Results of Random forest variable.

90_neut_all.R

R script used for descriptive analysis and SMOTE class balance data generation.

231table_finally.R

R script used for descriptive analysis of SMOTE class balance.

231model_finally.R

R script used for Lasso logistic regression analysis and random forest analysis.

figure

Plotting of analysis results