A systematic review of automatic text summarization for biomedical literature and EHRs.

ABSTRACT:

Objective

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.

Materials and methods

This review followed the PRISMA methodology and replicated the approaches adopted by the previous systematic review published on the same topic. We searched 4 databases (PubMed, ACM Digital Library, Scopus, and Web of Science) from January 1, 2013 to April 8, 2021. Two reviewers indepen

SUBMITTER: Wang M 

PROVIDER: S-EPMC8449627 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature