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Browse files# PubMed PICO extraction (NER model)
This is a fine-tuned multi-class NER model for PICO labels within PubMed biomedical database abstracts, trained with [NERDA](https://ebanalyse.github.io/NERDA/).
The mode predicts:
| Class | **F1-Score** | Precision | Recall |
|B-Patient | **0.72** | 0.69 | 0.76
|I-Patient | **0.77** | 0.74 | 0.81
|B-Intervention | **0.62** | 0.61 | 0.63 |
|I-Intervention | **0.70** | 0.70 | 0.71 |
|B-Control | **0.59** | 0.56 | 0.63 |
|I-Control | **0.62** | 0.64 | 0.61 |
|B-Outcome | **0.49** | 0.50 | 0.49 |
|I-Outcome | **0.56** | 0.63 | 0.51 |