Open AccessA systematic review of automatic text summarization for biomedical literature and EHRs
Author(s) -
Mengqian Wang,
Manhua Wang,
Fei Yu,
Yue Yang,
Jennifer Walker,
Javed Mostafa
Publication year - 2021
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocab143
Subject(s) - automatic summarization , computer science , scopus , information retrieval , biomedical text mining , digital library , systematic review , multi document summarization , data science , information overload , web of science , data extraction , medline , text mining , world wide web , data mining , art , literature , poetry , law , political science
Biomedical text summarization helps biomedical information seekers avoid information overload by reducing the length of a document while preserving the contents' essence. Our systematic review investigates the most recent biomedical text summarization researches on biomedical literature and electronic health records by analyzing their techniques, areas of application, and evaluation methods. We identify gaps and propose potential directions for future research.