Efficacy improvement in searching MEDLINE database using a novel PubMed visual analytic system: EEEvis.

ABSTRACT: PubMed is the most extensively used database and search engine in the biomedical and healthcare fields. However, users could experience several difficulties in acquiring their target papers facing massive numbers of search results, especially in their unfamiliar fields. Therefore, we developed a novel user interface for PubMed and conducted three steps of study: step A, a preliminary user survey with 76 medical experts regarding the current usability for the biomedical literature search task at PubMed; step B is implementing EEEvis, a novel interactive visual analytic system for the search task; step C, a randomized user study comparing PubMed and EEEvis. First, we conducted a Google survey of 76 medical experts regarding the unmet needs of PubMed and the user requirements for a novel sear

SUBMITTER: Lee JC 

PROVIDER: S-EPMC9910730 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature