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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8186
Title: An exploratory study of automatic text summarization in biomedical and healthcare domain
Authors: Rohil, Mukesh Kumar
Keywords: Computer Science
Artificial Intelligence
Electronic Health Records
Automatic Text Summarization
Natural Language Processing
Unified Medical Language System
Medical Subject Headings
Issue Date: Nov-2022
Publisher: Elsevier
Abstract: In the last two decades, the uses of automatic text summarization have been realized in a wide range of applications in various fields cutting across a number of verticals. Amongst these, one of the most inquired is the domain of healthcare and medicine. Many of the studies have revealed that the use of automatic text summarization in the biomedical and healthcare domain helps researchers and medical professionals save their time and access more information in considerably short spans of time. This article reports some of the recent studies that enumerate the benefits and limitations of the uses of automatic text summarization in the biomedical and healthcare domain. In addition, the paper also explores certain new possible applications of automatic text summarization in the biomedical and healthcare domain. Furthermore, it discusses the trends and vision towards future opportunities for possible research in automatic text summarization in the context of medical and healthcare domain.
URI: https://www.sciencedirect.com/science/article/pii/S2772442522000223
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8186
Appears in Collections:Department of Computer Science and Information Systems

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