| ARDS | acute respiratory distress syndrome |
| AST | aspartate aminotransferase |
| AUC | area under the curve |
| CI | confidence interval |
| COVID-19 | Coronavirus disease 2019 |
| CRP | C-reactive protein |
| DL | deep learning |
| DT | decision tree |
| FN | false negative |
| FP | false positive |
| GNB | Gaussian naive Bayes |
| GRU | gated recurrent unit |
| HR | hazard ratio |
| ICU | intensive care unit |
| IQR | interquartile range |
| ISTS | irregularly sampled time series |
| KNN | K-nearest neighbors |
| LSTM | long short-term memory |
| ML | machine learning |
| PCA | principal component analysis |
| RBC | red blood cells |
| RF | random Forest |
| RNN | recurrent neural network |
| ROC | receiver operating characteristic |
| RT-PCR | reverse transcription-polymerase chain reaction |
| SARS-CoV-2 | Severe acute respiratory syndrome coronavirus 2 |
| SVM | Support vector machine |
| T-LSTM | time aware long-short term memory |
| t-SNE | t-distributed stochastic neighbor embedding |
| TN | true negative |
| TP | true positive |