Ontology highlight
ABSTRACT: Background
Corona virus disease 2019 (COVID-19) has been announced as a new coronavirus disease by the World Health Organization. At the time of writing this article (April 2020), the world is drastically influenced by the COVID-19. Recently, the COVID-19 Open Research Dataset (CORD-19) was published. For researchers on ID such as ourselves, it is of key interest to learn whether this open research dataset may be used to investigate the virus and its consequences for people with an ID.Methods
From CORD-19, we identified full-text articles containing terms related to the ID care and applied a text mining technique, specifically the term frequency-inverse document frequency analysis in combination with K-means clustering.Results
Two hundred fifty-nine articles contain
SUBMITTER: Tummers J
PROVIDER: S-EPMC7264798 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature