Clinical Concept Extraction On 2010 I2B2Va
Metrics
Exact Span F1
Results
Performance results of various models on this benchmark
Model Name | Exact Span F1 | Paper Title | Repository |
|---|---|---|---|
| BERTlarge (MIMIC) | 90.25 | Enhancing Clinical Concept Extraction with Contextual Embeddings | - |
| ClinicalBERT | 87.4 | Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media | - |
| ELMo (finetuned on i2b2) + word2vec (i2b2) | 86.23 | Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition | |
| deBruijn et al. (System 1.1) | 85.23 | Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 | - |
| CharacterBERT (base, medical) | 89.24 | CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters |
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