CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
Abstract Background Automated summarization of scientific literature and patient records is essential for enhancing clinical decision-making and facilitating precision medicine. Most existing summarization methods are based on single indicators of relevance, offer limited capabilities for informatio...
Main Authors: | Eva K. Lee, Karan Uppal |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-12-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-020-01330-8 |
Similar Items
-
Experiences with and Reflections on Text Summarization Tools
by: Shuha Liu
Published: (2009-12-01) -
Automatic text summarization based on extractive-abstractive method
by: Md. Ahsan Habib, et al.
Published: (2023-05-01) -
A Review on Optimization-Based Automatic Text Summarization Approach
by: Muhammad Hafizul H. Wahab, et al.
Published: (2024-01-01) -
Multi-Document News Web Page Summarization Using Content Extraction and Lexical Chain Based Key Phrase Extraction
by: Chandrakala Arya, et al.
Published: (2023-04-01) -
Text Summarization Based on Several Natural Language Techniques
by: Abeer Khalid Ahmad
Published: (2014-01-01)