| SN | Abb * | Definition |
| 1 | AHS | Average Highest Similarity |
| 2 | AUC | Area-under-the-curve |
| 3 | AI | Artificial Intelligence |
| 4 | ARDS | Acute Respiratory Distress Syndrome |
| 5 | BMI | Body mass index |
| 6 | CSSM | Cosine Similarity Measure |
| 7 | CNN | Convolution neural network |
| 8 | EDSM | Euclidean Distance Similarity Measure |
| 9 | GGO | Ground Glass Opacities |
| 10 | VGG | Visual Geometry Group |
| 11 | DL | Deep learning |
| 12 | DM | Diabetes mellitus |
| 13 | Densenet | Dense Convolutional Network |
| 14 | MBSM | Maxwell–Boltzmann Similarity Measure |
| 15 | MAP | Mean Average Precision |
| 16 | ML | Machine Learning |
| 17 | KNN | K- nearest neighbor |
| 18 | FoM | Figure of Merit |
| 19 | HDL | Hybrid deep learning |
| 20 | HRS | Health Recommender System |
| 21 | NB | Naive Bayes |
| 22 | NR | Not reported |
| 23 | PCA | Principal component analysis |
| 24 | PI | Pulmonary Infiltrates |
| 25 | Resnet | Residual Neural Network |
| 26 | PR | The period measured in milliseconds |
| 27 | RF | Random forest |
| 28 | ReLU | Rectified Linear Activation Unit |
| 29 | RoB | Risk of bias |
| 30 | ROC | Receiver operating-characteristics |
| 31 | TL | Transfer learning |
| 32 | DFTV | Dataset for Training and Verification |
| 33 | DFCV | Dataset for Training and Cross Validation |