From: Adapting transformer-based language models for heart disease detection and risk factors extraction
Model | Precision | Recall | F1-score | Micro F1-score (Accuracy |
---|---|---|---|---|
BERT | 0.9251 | 0.9373 | 0.9284 | 0.9373 |
RoBERTa | 0.9390 | 0.9427 | 0.9394 | 0.9427 |
BioBERT | 0.9337 | 0.9399 | 0.9357 | 0.9399 |
BioClinicalBERT | 0.9338 | 0.9403 | 0.9357 | 0.9403 |
XLNet | 0.9361 | 0.9397 | 0.9371 | 0.9397 |
Roberts et al. [37] | 0.9625 | 0.8951 | 0.9276 | 0.9276 |
Chen et al. [41] | 0.9436 | 0.9106 | 0.9268 | 0.9268 |
Cormack et al. [82] | 0.9375 | 0.8975 | 0.9171 | 0.9171 |
Yang and Garibaldi [81] | 0.9488 | 0.8847 | 0.9156 | 0.9156 |
Khalifa and Meystre [83] | 0.8951 | 0.8552 | 0.8747 | 0.8747 |
Chokkwijitkul et al. [10] | 0.9180 | 0.8983 | 0.9081 | 0.9081 |