Clinical Value Extraction on SaO2 (test)
73.19Segment-level RecallBERT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BERTClassifier Group=Sequence models, Fine-tuning Epochs=100, Sequence Length=32, Batch Size=642021.09 | 73.19 | 86.51 | 93.58 | 91.61 | |
| Clinical BERTClassifier Group=Sequence models, Fine-tuning Epochs=100, Sequence Length=32, Batch Size=642021.09 | 68.3 | 88.71 | 95.23 | 91.61 | |
| BiLSTMClassifier Group=Sequence models, Embedding Type=Word2Vec (CBOW), Input dimension=1002021.09 | 67.39 | 90.51 | 92.74 | 91.61 | |
| NaiveBayesClassifier Group=Bag-of-words models, Alpha=0.52021.09 | 63.22 | 27.05 | 90.82 | 51.75 | |
| SVMClassifier Group=Bag-of-words models, Kernel=Polynomial2021.09 | 61.05 | 91.33 | 88.6 | 87.76 | |
| Random ForestClassifier Group=Bag-of-words models2021.09 | 60.87 | 93.07 | 92.64 | 89.51 | |
| kNNClassifier Group=Bag-of-words models, k-value=32021.09 | 58.7 | 86.63 | 84.29 | 87.86 | |
| LRClassifier Group=Bag-of-words models, Penalty=None2021.09 | 56.7 | 49.14 | 91.53 | 82.87 | |
| Ridge (L2)Classifier Group=Bag-of-words models, Penalty=L2 (λ = 0.01)2021.09 | 55.43 | 49.04 | 91.43 | 83.22 | |
| LASSO (L1)Classifier Group=Bag-of-words models, Penalty=L1 (λ = 0.01)2021.09 | 53.8 | 51.03 | 91.51 | 84.62 |