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

database[Title] 2023-02-15

Summary:

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...

Link:

https://pubmed.ncbi.nlm.nih.gov/36758038/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20230215014204&v=2.17.9.post6+86293ac

From feeds:

📚BioDBS Bibliography » database[Title]

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Authors:

Jong-Chan Lee, Brian J Lee, Changhee Park, Hyunjoo Song, Chan-Young Ock, Hyojae Sung, Sungjin Woo, Yuna Youn, Kwangrok Jung, Jae Hyup Jung, Jinwoo Ahn, Bomi Kim, Jaihwan Kim, Jinwook Seo, Jin-Hyeok Hwang

Date tagged:

02/15/2023, 01:42

Date published:

02/09/2023, 06:00