{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T04:16:09Z","timestamp":1769746569056,"version":"3.49.0"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"23","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Knowledge of drug\u2013drug interactions (DDIs) is crucial for health-care professionals to avoid adverse effects when co-administering drugs to patients. As most newly discovered DDIs are made available through scientific publications, automatic DDI extraction is highly relevant.<\/jats:p>\n               <jats:p>Results: We propose a novel feature-based approach to extract DDIs from text. Our approach consists of three steps. First, we apply text preprocessing to convert input sentences from a given dataset into structured representations. Second, we map each candidate DDI pair from that dataset into a suitable syntactic structure. Based on that, a novel set of features is used to generate feature vectors for these candidate DDI pairs. Third, the obtained feature vectors are used to train a support vector machine (SVM) classifier. When evaluated on two DDI extraction challenge test datasets from 2011 and 2013, our system achieves F-scores of 71.1% and 83.5%, respectively, outperforming any state-of-the-art DDI extraction system.<\/jats:p>\n               <jats:p>Availability and implementation: The source code is available for academic use at http:\/\/www.biosemantics.org\/uploads\/DDI.zip<\/jats:p>\n               <jats:p>Contact: q.bui@erasmusmc.nl<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu557","type":"journal-article","created":{"date-parts":[[2014,8,21]],"date-time":"2014-08-21T04:05:53Z","timestamp":1408593953000},"page":"3365-3371","source":"Crossref","is-referenced-by-count":71,"title":["A novel feature-based approach to extract drug\u2013drug interactions from biomedical text"],"prefix":"10.1093","volume":"30","author":[{"given":"Quoc-Chinh","family":"Bui","sequence":"first","affiliation":[{"name":"1 Department of Medical Informatics, Erasmus University Medical Center Rotterdam, 2Informatics Institute, University of Amsterdam, The Netherlands, 3Complexity Institute, Nanyang Technological University, Singapore and 4ITMO University, St. Petersburg, Russian Federation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter M.A.","family":"Sloot","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics, Erasmus University Medical Center Rotterdam, 2Informatics Institute, University of Amsterdam, The Netherlands, 3Complexity Institute, Nanyang Technological University, Singapore and 4ITMO University, St. Petersburg, Russian Federation"},{"name":"1 Department of Medical Informatics, Erasmus University Medical Center Rotterdam, 2Informatics Institute, University of Amsterdam, The Netherlands, 3Complexity Institute, Nanyang Technological University, Singapore and 4ITMO University, St. Petersburg, Russian Federation"},{"name":"1 Department of Medical Informatics, Erasmus University Medical Center Rotterdam, 2Informatics Institute, University of Amsterdam, The Netherlands, 3Complexity Institute, Nanyang Technological University, Singapore and 4ITMO University, St. Petersburg, Russian Federation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik M.","family":"van Mulligen","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics, Erasmus University Medical Center Rotterdam, 2Informatics Institute, University of Amsterdam, The Netherlands, 3Complexity Institute, Nanyang Technological University, Singapore and 4ITMO University, St. Petersburg, Russian Federation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan A.","family":"Kors","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics, Erasmus University Medical Center Rotterdam, 2Informatics Institute, University of Amsterdam, The Netherlands, 3Complexity Institute, Nanyang Technological University, Singapore and 4ITMO University, St. Petersburg, Russian 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