SOTAVerified

Clinical Concept Extraction

Automatic extraction of clinical named entities such as clinical problems, treatments, tests and anatomical parts from clinical notes.

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Papers

Showing 1120 of 24 papers

TitleStatusHype
Extracting clinical concepts from user queries0
Clinical Concept Extraction: a Methodology Review0
Embedding Strategies for Specialized Domains: Application to Clinical Entity RecognitionCode0
Clinical Concept Extraction for Document-Level Coding0
Enhancing Clinical Concept Extraction with Contextual Embeddings0
Clinical Concept Extraction with Contextual Word EmbeddingCode0
Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach0
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction0
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognitionCode0
Bidirectional LSTM-CRF for Clinical Concept ExtractionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTlarge (MIMIC)Exact Span F190.25Unverified
2CharacterBERT (base, medical)Exact Span F189.24Unverified
3ClinicalBERTExact Span F187.4Unverified
4ELMo (finetuned on i2b2) + word2vec (i2b2)Exact Span F186.23Unverified
5deBruijn et al. (System 1.1)Exact Span F185.23Unverified