A systematic review on text summarization of medical research articles
Joint Authors
Arif, Mustafa Mahmud
Alfonse, Marco
Ibrahim, al-Shayma M.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 23, Issue 2 (30 Jun. 2023), pp.50-61, 12 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2023-06-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The term "medical text summarization" refers to the process of extracting or collecting more useful information from medical articles in a concise manner.
every day, the count of medical publications increases continuously, and applying text summarization techniques can minimize the time needed to manually transform medical papers into a summarized version.
this study's goal is to present a summary of recent works in medical text summarization from 2018 to 2022.
it includes 15 papers covering different methodologies such as clinical context-aware (CCA), prognosis quality recognition (PQR), bidirectional encoder representations from transformers (BERT), generative adversarial networks (GAN), recurrent neural network (RNN), and sequence-to-sequence (seq-2-seq) model.
also, the paper describes the newest datasets (PubMed, arXiv, SUMPUBMED, evidence-based medicine summarization, COVID-19 open research, BioMed central, clinical context-aware, biomedical relation extraction dataset, semantic scholar open research corpus, and prognosis quality recognition) and evaluation metrics (recall-oriented understudy for gisting evaluation (ROUGE), F1 metric, bilingual evaluation understudy (BLEU), BERTScore (BS), and accuracy) used in medical text summarization.
American Psychological Association (APA)
Ibrahim, al-Shayma M.& Alfonse, Marco& Arif, Mustafa Mahmud. 2023. A systematic review on text summarization of medical research articles. International Journal of Intelligent Computing and Information Sciences،Vol. 23, no. 2, pp.50-61.
https://search.emarefa.net/detail/BIM-1486286
Modern Language Association (MLA)
Ibrahim, al-Shayma M.…[et al.]. A systematic review on text summarization of medical research articles. International Journal of Intelligent Computing and Information Sciences Vol. 23, no. 2 (Jun. 2023), pp.50-61.
https://search.emarefa.net/detail/BIM-1486286
American Medical Association (AMA)
Ibrahim, al-Shayma M.& Alfonse, Marco& Arif, Mustafa Mahmud. A systematic review on text summarization of medical research articles. International Journal of Intelligent Computing and Information Sciences. 2023. Vol. 23, no. 2, pp.50-61.
https://search.emarefa.net/detail/BIM-1486286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 59-61
Record ID
BIM-1486286