{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T10:30:49Z","timestamp":1676457049451},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,3,1]]},"abstract":"Abstract<\/jats:title>\n Summary: We have developed medpie, a software package for preparing medical message board corpora and extracting patient mentions and statistics for drugs, herbs and adverse effects experienced from them. The package is divided into web-crawling, HTML-cleaning, de-identification and information extraction modules. It also includes a sample controlled vocabulary of drugs, herbs and adverse effect terms.<\/jats:p>\n Availability: \u00a0http:\/\/www.cis.upenn.edu\/~ungar\/medpie.zip<\/jats:p>\n Dependencies: Python 2.6 or 2.7<\/jats:p>\n Contact: \u00a0ungar@cis.upenn.edu; adrianb@mail.med.upenn.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts030","type":"journal-article","created":{"date-parts":[[2012,1,20]],"date-time":"2012-01-20T02:49:12Z","timestamp":1327027752000},"page":"743-744","source":"Crossref","is-referenced-by-count":7,"title":["medpie: an information extraction package for medical message board posts"],"prefix":"10.1093","volume":"28","author":[{"given":"A.","family":"Benton","sequence":"first","affiliation":[{"name":"1 University of Pennsylvania School of Medicine, Center for Clinical Epidemiology and Biostatistics, 2University of Pennsylvania, The Wharton School, Department of Operations and Information Management and 3University of Pennsylvania School of Engineering and Applied Science, Department of Computer and Information Science, Philadelphia, PA 19104, USA"}]},{"given":"J. H.","family":"Holmes","sequence":"additional","affiliation":[{"name":"1 University of Pennsylvania School of Medicine, Center for Clinical Epidemiology and Biostatistics, 2University of Pennsylvania, The Wharton School, Department of Operations and Information Management and 3University of Pennsylvania School of Engineering and Applied Science, Department of Computer and Information Science, Philadelphia, PA 19104, USA"}]},{"given":"S.","family":"Hill","sequence":"additional","affiliation":[{"name":"1 University of Pennsylvania School of Medicine, Center for Clinical Epidemiology and Biostatistics, 2University of Pennsylvania, The Wharton School, Department of Operations and Information Management and 3University of Pennsylvania School of Engineering and Applied Science, Department of Computer and Information Science, Philadelphia, PA 19104, USA"}]},{"given":"A.","family":"Chung","sequence":"additional","affiliation":[{"name":"1 University of Pennsylvania School of Medicine, Center for Clinical Epidemiology and Biostatistics, 2University of Pennsylvania, The Wharton School, Department of Operations and Information Management and 3University of Pennsylvania School of Engineering and Applied Science, Department of Computer and Information Science, Philadelphia, PA 19104, USA"}]},{"given":"L.","family":"Ungar","sequence":"additional","affiliation":[{"name":"1 University of Pennsylvania School of Medicine, Center for Clinical Epidemiology and Biostatistics, 2University of Pennsylvania, The Wharton School, Department of Operations and Information Management and 3University of Pennsylvania School of Engineering and Applied Science, Department of Computer and Information Science, Philadelphia, PA 19104, USA"}]}],"member":"286","published-online":{"date-parts":[[2012,1,19]]},"reference":[{"issue":"Suppl. 3","key":"2023012512200497000_B1","doi-asserted-by":"crossref","first-page":"S2","DOI":"10.1186\/1471-2105-12-S3-S2","article-title":"A system for de-identifying medical message board text","volume":"12","author":"Benton","year":"2011","journal-title":"BMC Bioinformatics"},{"key":"2023012512200497000_B2","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1016\/j.jbi.2011.07.005","article-title":"Identifying potential adverse effects using the web: a new approach to medical hypothesis generation","volume":"44","author":"Benton","year":"2011","journal-title":"J. Biomed. Inform."},{"key":"2023012512200497000_B3","first-page":"6","article-title":"Social network analysis of an online melanoma discussion group","volume":"2010","author":"Durant","year":"2010","journal-title":"AMIA Summits Transl. Sci. Proc."},{"key":"2023012512200497000_B4","first-page":"469","article-title":"Extracting Product Comparisons from Discussion Boards","volume-title":"Proceedings of the 2007 Seventh IEEE International Conference on Data Mining.","author":"Feldman","year":"2007"},{"key":"2023012512200497000_B5","first-page":"550","article-title":"Evaluating the state-of-the-art in automatic de-identification","volume":"14","author":"Uzuner","year":"2007","journal-title":"JAMIA"},{"key":"2023012512200497000_B6","first-page":"1155","article-title":"Exploring lexical forms: first-generation consumer health vocabularies","author":"Zeng","year":"2006","journal-title":"AMIA Annu. Symp. 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