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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!