A Hybrid Solution for Summarizing Diverse Medical Texts in the Health Domain-Reference-Cited by-同舟云学术

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A Hybrid Solution for Summarizing Diverse Medical Texts in the Health Domain

Published:2024-05-09 Issue: Volume:2 Page:131-136
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
language:
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Author:

Samuel Prithi¹,Berna Eugene²,Kumar Arun³,Reshmy A K¹,Sriraj Swaroop Kadaba¹,Saketh Yanda¹

Affiliation:

1. SRM Institute of Science and Technology,Department of Computational Intelligence,Kattankulathur,India

2. Bannari Amman Institute of Technology,Department of Artificial Intelligence and Machine Learning,Erode,India

3. University of South Wales,Department of Digital Forensics and Cyber Security,Treforest,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593437.pdf?arnumber=10593437

Reference10 articles.

1. Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature

2. A Light-Weight Text Summarization System for Fast Access to Medical Evidence

3. Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation

4. Graph-based abstractive biomedical text summarization

5. Frequent item-set mining and clustering based ranked biomedical text summarization

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