--- license: cc-by-2.0 language: - en tags: - pico - pubmed - ner - pubmedbert --- # 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 |