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This study detects the associations among health problems by extending the meaning of health terms with methods based on the latent Dirichlet allocation (LDA) probability topic model, the Medical Subject Headings (MeSH) thesaurus structure and the Wikipedia concept mapping. The terms represented health problems are selected from and extended by the consumer-level medical text. The vocabulary is different between the consumer-level and the professional-level medical text. Thus, the findings can be easily understood by the general public and be suitable to consumer-oriented applications. The methods were evaluated in two ways: (1) correlation analysis with expert rating to show the overall performance and (2) P@ N to reflect the ability of detecting strong associations. The LDA topic-model-based method outperforms the other two types. The judgment incongruence between the best method and the expert ratings has been examined, and the evidence shows that the automatic method sometimes detects real associations beyond those identified by human experts.<\/jats:p>","DOI":"10.1177\/0165551516671629","type":"journal-article","created":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T23:14:33Z","timestamp":1476918873000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Detecting the association of health problems in consumer-level medical text"],"prefix":"10.1177","volume":"44","author":[{"given":"Chong","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Information Management, School of Government, Beijing Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edgar","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Informatics and Computing, Indiana University\u2013Purdue University Indianapolis, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongfei","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Electronics Engineering and Computer Science, Peking University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,10,1]]},"reference":[{"key":"bibr1-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M1687"},{"key":"bibr2-0165551516671629","first-page":"2489","volume-title":"Proceedings of the CHI\u201909 extended abstracts on human factors in computing systems","author":"Gualtieri LN"},{"key":"bibr3-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20317"},{"key":"bibr4-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1002\/meet.14505001069"},{"key":"bibr5-0165551516671629","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.4345"},{"key":"bibr6-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1055\/s-0038-1634490"},{"key":"bibr7-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M2449"},{"key":"bibr8-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M1761"},{"key":"bibr9-0165551516671629","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.1636"},{"key":"bibr10-0165551516671629","first-page":"709","volume-title":"Proceedings of the 2nd ACM SIGHIT international health informatics symposium","author":"Fan X"},{"key":"bibr11-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19656-0_4"},{"key":"bibr12-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1038\/nature07634"},{"key":"bibr13-0165551516671629","first-page":"265","volume-title":"Proceedings of the fifth international AAAI conference on weblogs and social media","volume":"20","author":"Paul MJ"},{"key":"bibr14-0165551516671629","doi-asserted-by":"publisher","DOI":"10.3121\/cmr.2012.1047"},{"key":"bibr15-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001448"},{"key":"bibr16-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2014.11.020"},{"key":"bibr17-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1007\/BF02254372"},{"issue":"13","key":"bibr18-0165551516671629","first-page":"75","volume":"58","author":"Liu H","year":"2014","journal-title":"Libr Inf Serv"},{"key":"bibr19-0165551516671629","first-page":"993","volume":"3","author":"Blei DM","year":"2003","journal-title":"J Mach Learn Res"},{"key":"bibr20-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.2000.1711"},{"key":"bibr21-0165551516671629","first-page":"50","volume-title":"Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval","author":"Hofmann T"},{"key":"bibr22-0165551516671629","first-page":"11","volume-title":"Proceedings of the advances in neural information processing systems","author":"Griffiths T"},{"key":"bibr23-0165551516671629","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOAS309"},{"key":"bibr24-0165551516671629","first-page":"448","volume-title":"Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining","author":"Wang C"},{"key":"bibr25-0165551516671629","unstructured":"Gabrilovich E, Markovitch S. 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