{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T09:23:41Z","timestamp":1648632221592},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"S4","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T00:00:00Z","timestamp":1607904000000},"content-version":"vor","delay-in-days":13,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, and then briefly introduce seven research articles included in this supplement issue, covering the topics on Knowledge Graph, Ontology-Powered Analytics, and Deep Learning.<\/jats:p>","DOI":"10.1186\/s12911-020-01292-x","type":"journal-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T08:02:54Z","timestamp":1607932974000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)"],"prefix":"10.1186","volume":"20","author":[{"given":"Zhe","family":"He","sequence":"first","affiliation":[]},{"given":"Cui","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Jiang","family":"Bian","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,14]]},"reference":[{"key":"1292_CR1","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","volume":"48","author":"Y Duan","year":"2019","unstructured":"Duan Y, Edwards JS, Dwivedi YK. Artificial intelligence for decision making in the era of Big Data-evolution, challenges and research agenda. Int J Inf Manag. 2019;48:63\u201371.","journal-title":"Int J Inf Manag"},{"issue":"01","key":"1292_CR2","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1055\/s-0038-1638585","volume":"17","author":"O Bodenreider","year":"2008","unstructured":"Bodenreider O. Biomedical ontologies in action: role in knowledge management, data integration and decision support. Yearb Med Inform. 2008;17(01):67\u201379.  https:\/\/doi.org\/10.1055\/s-0038-1638585.","journal-title":"Yearb Med Inform."},{"key":"1292_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jbi.2018.02.010","volume":"80","author":"M Amith","year":"2018","unstructured":"Amith M, He Z, Bian J, Lossio-Ventura JA, Tao C. Assessing the practice of biomedical ontology evaluation: gaps and opportunities. J Biomed Inform. 2018;80:1\u201313.","journal-title":"J Biomed Inform"},{"issue":"2","key":"1292_CR4","doi-asserted-by":"publisher","first-page":"109","DOI":"10.5626\/JCSE.2008.2.2.109","volume":"2","author":"I-H Yoo","year":"2008","unstructured":"Yoo I-H, Song M. Biomedical ontologies and text mining for biomedicine and healthcare: a survey. J Comput Sci Eng. 2008;2(2):109\u201336.","journal-title":"J Comput Sci Eng"},{"issue":"10","key":"1292_CR5","doi-asserted-by":"publisher","first-page":"1606","DOI":"10.1093\/jamia\/ocaa084","volume":"27","author":"L Amos","year":"2020","unstructured":"Amos L, Anderson D, Brody S, Ripple A, Humphreys BL. UMLS users and uses: a current overview. J Am Med Inform Assoc. 2020;27(10):1606\u201311.","journal-title":"J Am Med Inform Assoc"},{"key":"1292_CR6","doi-asserted-by":"publisher","first-page":"7983473","DOI":"10.1155\/2017\/7983473","volume":"2017","author":"Z He","year":"2017","unstructured":"He Z, Tao C, Bian J, Dumontier M, Hogan WR. Semantics-powered healthcare engineering and data analytics. J Healthc Eng. 2017;2017:7983473. https:\/\/doi.org\/10.1155\/2017\/7983473.","journal-title":"J Healthc Eng."},{"issue":"Suppl 2","key":"1292_CR7","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1186\/s12911-018-0624-8","volume":"18","author":"Z He","year":"2018","unstructured":"He Z, Tao C, Bian J, Zhang R, Huang J. Introduction: selected extended articles from the 2nd international workshop on semantics-powered data analytics (SEPDA 2017). BMC Med Inform Decis Mak. 2018;18(Suppl 2):56. https:\/\/doi.org\/10.1186\/s12911-018-0624-8.","journal-title":"BMC Med Inform Decis Mak."},{"issue":"Suppl 4","key":"1292_CR8","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1186\/s12911-019-0855-3","volume":"19","author":"Z He","year":"2019","unstructured":"He Z, Bian J, Tao C, Zhang R. Selected articles from the third international workshop on semantics-powered data analytics (SEPDA 2018). BMC Med Inform Decis Mak. 2019;19(Suppl 4):148. https:\/\/doi.org\/10.1186\/s12911-019-0855-3.","journal-title":"BMC Med Inform Decis Mak."},{"key":"1292_CR9","doi-asserted-by":"crossref","unstructured":"He Z, Bian J, Tao C, Zhang R. Proceedings of the 4th international workshop on semantics-powered data mining and analytics: CEUR workshop proceedings. https:\/\/ceur-ws.org\/Vol-2427\/. 21 Sept 2020","DOI":"10.1186\/s12911-019-0855-3"},{"key":"1292_CR10","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01341-5","author":"A Rossanez","year":"2020","unstructured":"Rossanez A, Cesar does Reis J, de Silva Torres R, de Ribaupeirre H. KGen: a knowledge graph generator from biomedical scientific literature. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01341-5.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1292_CR11","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01134-w","author":"G Vandewiele","year":"2020","unstructured":"Vandewiele G, Steenwinckel B, De Turck F, Ongenae F. MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01134-w.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1292_CR12","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01270-3","author":"H Zhang","year":"2020","unstructured":"Zhang H, Guo Y, Prosperi M, Bian J. An ontology-based documentation of data discovery and integration process in cancer outcomes research. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01270-3.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1292_CR13","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01274-z","author":"L Zhang","year":"2020","unstructured":"Zhang L, Hu J, Xu Q, Li F, Rao G, Tao C. A semantic relationship mining method among disorders, genes, and drugs from different biomedical datasets. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01274-z.","journal-title":"BMC Med Inform Decis Mak"},{"issue":"21","key":"1292_CR14","first-page":"1","volume":"20","author":"M Amith","year":"2019","unstructured":"Amith M, Roberts K, Tao C. Conceiving an application ontology to model patient human papillomavirus vaccine counseling for dialogue management. BMC Bioinform. 2019;20(21):1\u201316.","journal-title":"BMC Bioinform"},{"key":"1292_CR15","first-page":"17","volume":"257","author":"M Amith","year":"2019","unstructured":"Amith M, Anna Z, Cunningham R, Rebecca L, Savas L, Laura S, Yong C, Yang G, Julie B, Roberts K. Early usability assessment of a conversational agent for HPV vaccination. Stud Health Technol Inform. 2019;257:17.","journal-title":"Stud Health Technol Inform"},{"key":"1292_CR16","first-page":"43","volume":"2020","author":"M Amith","year":"2020","unstructured":"Amith M, Lin R, Cunningham R, Wu QL, Savas LS, Gong Y, Boom JA, Tang L, Tao C. Examining potential usability and health beliefs among young adults using a conversational agent for HPV vaccine counseling. AMIA Summits Transl Sci Proc. 2020;2020:43.","journal-title":"AMIA Summits Transl Sci Proc"},{"key":"1292_CR17","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01267-y","author":"M Amith","year":"2020","unstructured":"Amith M, Lin R, Cui L, Wang D, Zhu A, Xiong G, Xu H, Roberts K, Tao C. Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01267-y.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1292_CR18","first-page":"432","volume":"225","author":"W Dennis","year":"2016","unstructured":"Dennis W, Cunningham R, Julie B, Amith M, Cui T. Towards a HPV vaccine knowledgebase for patient education content. Stud Health Technol Inform. 2016;225:432.","journal-title":"Stud Health Technol Inform"},{"issue":"6","key":"1292_CR19","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1093\/bib\/bbx044","volume":"19","author":"R Miotto","year":"2018","unstructured":"Miotto R, Wang F, Wang S, Jiang X, Dudley JT. Deep learning for healthcare: review, opportunities and challenges. Brief Bioinform. 2018;19(6):1236\u201346.","journal-title":"Brief Bioinform"},{"issue":"4","key":"1292_CR20","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1111\/cts.12764","volume":"13","author":"Z He","year":"2020","unstructured":"He Z, Tang X, Yang X, Guo Y, George TJ, Charness N, Quan Hem KB, Hogan W, Bian J. Clinical trial generalizability assessment in the Big Data era: a review. Clin Transl Sci. 2020;13(4):675\u201384.","journal-title":"Clin Transl Sci"},{"key":"1292_CR21","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01151-9","author":"J Chu","year":"2020","unstructured":"Chu J, Dong W, Wang J, He K, Huang Z. Treatment effect prediction with adversarial deep learning using electronic health records. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01151-9.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1292_CR22","doi-asserted-by":"crossref","unstructured":"Gene-Cos N. Post-traumatic stress disorder: the management of PTSD in adults and children in primary and secondary care. National Collaborating Centre for Mental Health. London & Leicester: Gaskell & The British Psychological Society, 2005,\u00a3 50.00, pp 168. ISBN: 190467125. Psychiatr Bull. 2006;30(9):357.","DOI":"10.1192\/pb.30.9.357-a"},{"key":"1292_CR23","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01272-1","author":"NH Ismail","year":"2020","unstructured":"Ismail NH, Liu N, Du M, He Z, Hu X. A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01272-1.","journal-title":"BMC Med Inform Decis Mak"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-020-01292-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12911-020-01292-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-020-01292-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T08:09:19Z","timestamp":1607933359000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-020-01292-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":23,"journal-issue":{"issue":"S4","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["1292"],"URL":"https:\/\/doi.org\/10.1186\/s12911-020-01292-x","relation":{},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12]]},"assertion":[{"value":"14 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"315"}}