{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T15:34:14Z","timestamp":1767108854400},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,3,25]],"date-time":"2015-03-25T00:00:00Z","timestamp":1427241600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BioData Mining"],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1186\/s13040-015-0044-6","type":"journal-article","created":{"date-parts":[[2015,3,24]],"date-time":"2015-03-24T07:29:23Z","timestamp":1427182163000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study"],"prefix":"10.1186","volume":"8","author":[{"given":"Guoqian","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Hongfang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Harold R","family":"Solbrig","sequence":"additional","affiliation":[]},{"given":"Christopher G","family":"Chute","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,3,25]]},"reference":[{"issue":"6","key":"44_CR1","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1002\/pds.1351","volume":"16","author":"ML Becker","year":"2007","unstructured":"Becker ML, Kallewaard M, Caspers PW, Visser LE, Leufkens HG, Stricker BH. Hospitalisations and emergency department visits due to drug-drug interactions: a literature review. Pharmacoepidemiol Drug Saf. 2007;16(6):641\u201351.","journal-title":"Pharmacoepidemiol Drug Saf"},{"issue":"1","key":"44_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/gm409","volume":"5","author":"AK Daly","year":"2013","unstructured":"Daly AK. Pharmacogenomics of adverse drug reactions. Genome med. 2013;5(1):5.","journal-title":"Genome med"},{"issue":"12","key":"44_CR3","doi-asserted-by":"publisher","first-page":"1144","DOI":"10.1056\/NEJMra1010600","volume":"364","author":"L Wang","year":"2011","unstructured":"Wang L, McLeod HL, Weinshilboum RM. Genomics and drug response. N Engl J Med. 2011;364(12):1144\u201353.","journal-title":"N Engl J Med"},{"issue":"18","key":"44_CR4","doi-asserted-by":"publisher","first-page":"2270","DOI":"10.1001\/jama.286.18.2270","volume":"286","author":"KA Phillips","year":"2001","unstructured":"Phillips KA, Veenstra DL, Oren E, Lee JK, Sadee W. Potential role of pharmacogenomics in reducing adverse drug reactions: a systematic review. JAMA. 2001;286(18):2270\u20139.","journal-title":"JAMA"},{"issue":"3","key":"44_CR5","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.tips.2013.01.006","volume":"34","author":"B Percha","year":"2013","unstructured":"Percha B, Altman RB. Informatics confronts drug-drug interactions. Trends Pharmacol Sci. 2013;34(3):178\u201384.","journal-title":"Trends Pharmacol Sci"},{"key":"44_CR6","first-page":"539","volume":"192","author":"M Samwald","year":"2013","unstructured":"Samwald M, Freimuth R, Luciano JS, Lin S, Powers RL, Marshall MS, et al. An RDF\/OWL Knowledge Base for Query Answering and Decision Support in Clinical Pharmacogenetics. Stud Health Technol Inform. 2013;192:539\u201342.","journal-title":"Stud Health Technol Inform"},{"key":"44_CR7","first-page":"607","volume":"2011","author":"G Jiang","year":"2011","unstructured":"Jiang G, Solbrig HR, Chute CG, ADEpedia. A scalable and standardized knowledge base of adverse drug events using Semantic Web technology. AMIA Annu Symp Proc. 2011;2011:607\u201316.","journal-title":"AMIA Annu Symp Proc"},{"key":"44_CR8","first-page":"496","volume":"192","author":"G Jiang","year":"2013","unstructured":"Jiang G, Wang L, Liu H, Solbrig HR, Chute CG. Building a knowledge base of severe adverse drug events based on AERS reporting data using Semantic Web technologies. Stud Health Technol Inform. 2013;192:496\u2013500.","journal-title":"Stud Health Technol Inform"},{"key":"44_CR9","unstructured":"Jiang G, Liu HF, Solbrig HR, Chute CG. ADEpedia 2.0: Integration of Normalized Adverse Drug Events (ADEs) Knowledge from the UMLS. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:100-4."},{"key":"44_CR10","unstructured":"The FDA AERS. [cited June 4, 2013]; Available from: \n                    http:\/\/www.fda.gov\/Drugs\/GuidanceComplianceRegulatoryInformation\/Surveillance\/AdverseDrugEffects\/default.htm\n                    \n                  ."},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Wang L, Jiang G, Li D, Liu H. Standardizing adverse drug event reporting data. J Biomed Semantics. 2014 Aug 12;5:36. doi: 10.1186\/2041-1480-5-36.","DOI":"10.1186\/2041-1480-5-36"},{"issue":"4","key":"44_CR12","first-page":"441","volume":"18","author":"SJ Nelson","year":"2011","unstructured":"Nelson SJ, Zeng K, Kilbourne J, Powell T, Moore R, Normalized names for clinical drugs. RxNorm at 6 years. JAMIA. 2011;18(4):441\u20138.","journal-title":"JAMIA"},{"key":"44_CR13","unstructured":"The MedDRA. [cited November 16, 2012]; Available from: \n                    http:\/\/www.meddramsso.com\/\n                    \n                  ."},{"key":"44_CR14","unstructured":"The CTCAE v4.0. [cited June 1, 2013]; Available from: \n                    http:\/\/evs.nci.nih.gov\/ftp1\/CTCAE\/About.html\n                    \n                  ."},{"key":"44_CR15","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1038\/msb.2009.98","volume":"6","author":"M Kuhn","year":"2010","unstructured":"Kuhn M, Campillos M, Letunic I, Jensen LJ, Bork P. A side effect resource to capture phenotypic effects of drugs. Mol Syst Biol. 2010;6:343.","journal-title":"Mol Syst Biol"},{"key":"44_CR16","unstructured":"PharmGKB Dataset. [cited April 8, 2013]; Available from: \n                    http:\/\/www.pharmgkb.org\/downloads.jsp\n                    \n                  ."},{"issue":"1","key":"44_CR17","first-page":"79","volume":"19","author":"NP Tatonetti","year":"2012","unstructured":"Tatonetti NP, Fernald GH, Altman RB. A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports. JAMIA. 2012;19(1):79\u201385.","journal-title":"JAMIA"},{"key":"44_CR18","unstructured":"The World Wide Web Consortium (W3C). [cited May 25, 2013]; Available from: \n                    http:\/\/www.w3.org\/\n                    \n                  ."},{"issue":"2","key":"44_CR19","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.jbi.2009.12.001","volume":"43","author":"JD Duke","year":"2010","unstructured":"Duke JD, Li X, Grannis SJ. Data visualization speeds review of potential adverse drug events in patients on multiple medications. J Biomed Inform. 2010;43(2):326\u201331.","journal-title":"J Biomed Inform"},{"issue":"7","key":"44_CR20","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1089\/thy.2010.1642","volume":"20","author":"CJ Ross","year":"2010","unstructured":"Ross CJ, Visscher H, Sistonen J, Brunham LR, Pussegoda K, Loo TT, et al. The Canadian Pharmacogenomics Network for Drug Safety: a model for safety pharmacology. Thyroid. 2010;20(7):681\u20137.","journal-title":"Thyroid"},{"key":"44_CR21","unstructured":"Zhu Q, Jiang G, Wang L, Chute CG. Standardized Drug and Pharmacological Class Network Construction. ICBO 2013 - Vaccine and Drug Ontology Studies (VDOS-2013) Workshop. Montreal, Qc. Canada; 2013."}],"container-title":["BioData Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-015-0044-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13040-015-0044-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-015-0044-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-015-0044-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,26]],"date-time":"2019-03-26T22:51:03Z","timestamp":1553640663000},"score":1,"resource":{"primary":{"URL":"https:\/\/biodatamining.biomedcentral.com\/articles\/10.1186\/s13040-015-0044-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,25]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,6]]}},"alternative-id":["44"],"URL":"https:\/\/doi.org\/10.1186\/s13040-015-0044-6","relation":{},"ISSN":["1756-0381"],"issn-type":[{"value":"1756-0381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,25]]},"assertion":[{"value":"1 August 2014","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 February 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2015","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"12"}}