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An exploratory study of automatic text summarization in biomedical and healthcare domain

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dc.contributor.author Rohil, Mukesh Kumar
dc.date.accessioned 2022-12-30T11:12:02Z
dc.date.available 2022-12-30T11:12:02Z
dc.date.issued 2022-11
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S2772442522000223
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8186
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Computer Science en_US
dc.subject Artificial Intelligence en_US
dc.subject Electronic Health Records en_US
dc.subject Automatic Text Summarization en_US
dc.subject Natural Language Processing en_US
dc.subject Unified Medical Language System en_US
dc.subject Medical Subject Headings en_US
dc.title An exploratory study of automatic text summarization in biomedical and healthcare domain en_US
dc.type Article en_US


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