{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T04:24:34Z","timestamp":1749011074099,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>Literature-based discovery (LBD) refers to automatic discovery of implicit relations from the scientific literature. Co-occurrence associations between biomedical concepts are commonly used in LBD. These co-occurrences can be represented as a network that consists of a set of nodes representing concepts and a set of edges representing their relationships (or links). In this paper we propose and evaluate a methodology for link prediction of implicit connections in a network of co-occurring Medical Subject Headings (MeSH&amp;reg;). The proposed approach is complementary to, and may augment, existing LBD methods. Link prediction was performed using Jaccard and Adamic-Adar similarity measures. The preliminary results showed high prediction performance, with area under the ROC curve of 0.78 and 0.82 for the two similarity measures, respectively.<\/jats:p>","DOI":"10.3233\/978-1-61499-432-9-579","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:10:01Z","timestamp":1740150601000},"source":"Crossref","is-referenced-by-count":1,"title":["Link Prediction in a MeSH Co-occurrence Network: Preliminary Results"],"prefix":"10.3233","author":[{"family":"Kastrin Andrej","sequence":"additional","affiliation":[]},{"family":"Rindflesch Thomas C.","sequence":"additional","affiliation":[]},{"family":"Hristovski Dimitar","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","e-Health &amp;ndash; For Continuity of Care"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:52:51Z","timestamp":1740153171000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=205&spage=579"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-432-9-579","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2014]]}}}