Clinical concept annotation with contextual word embedding in active transfer learning environment
Objective The study aims to present an active learning approach that automatically extracts clinical concepts from unstructured data and classifies them into explicit categories such as Problem, Treatment, and Test while preserving high precision and recall and demonstrating the approach through exp...
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          | Main Authors: | Asim Abbas, Mark Lee, Niloofer Shanavas, Venelin Kovatchev | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | SAGE Publishing
    
        2024-12-01 | 
| Series: | Digital Health | 
| Online Access: | https://doi.org/10.1177/20552076241308987 | 
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