Table 2.
Characteristics of studies aimed at the early dispatch-level detection of out-of-hospital cardiac arrest and outcome prediction.
|
Early Dispatch-level Detection and Outcome Prediction for OHCA (n = 7) | |
|---|---|
| Year | Frequency (%) |
| 2023 | 1 (15) |
| 2022 | 2 (29) |
| 2021 | 3 (43) |
| 2019 | 1 (15) |
| Country of Study Origin | |
| Denmark | 1 (15) |
| France | 2 (29) |
| Sweden | 1 (15) |
| Taiwan | 1 (15) |
| Multinational Collaboration | 2 (29) |
| Patient Demographic | |
| Adults & Pediatrics | 7 (100) |
| AI Branch | |
| Machine Learning | 4 |
| Machine Learning & Deep Learning | 3 |
| Classification Algorithm | |
| Attentive Interpretable Tabular Learning | 1 |
| Automatic speech recognition | 1 |
| Binary logistic regression | 1 |
| Convolutional Neural Network | 1 |
| LightGBM | 1 |
| Neural network | 1 |
| Random forest | 1 |
| XGBoost | 1 |
| Not specified | 4 |