Literature DB >> 22262673

medpie: an information extraction package for medical message board posts.

A Benton1, J H Holmes, S Hill, A Chung, L Ungar.   

Abstract

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. AVAILABILITY: http://www.cis.upenn.edu/~ungar/medpie.zip. DEPENDENCIES: Python 2.6 or 2.7.

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Mesh:

Year:  2012        PMID: 22262673      PMCID: PMC3289922          DOI: 10.1093/bioinformatics/bts030

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

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Authors:  Ozlem Uzuner; Yuan Luo; Peter Szolovits
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

3.  A system for de-identifying medical message board text.

Authors:  Adrian Benton; Shawndra Hill; Lyle Ungar; Annie Chung; Charles Leonard; Cristin Freeman; John H Holmes
Journal:  BMC Bioinformatics       Date:  2011-06-09       Impact factor: 3.169

4.  Identifying potential adverse effects using the web: a new approach to medical hypothesis generation.

Authors:  Adrian Benton; Lyle Ungar; Shawndra Hill; Sean Hennessy; Jun Mao; Annie Chung; Charles E Leonard; John H Holmes
Journal:  J Biomed Inform       Date:  2011-07-26       Impact factor: 6.317

5.  Social network analysis of an online melanoma discussion group.

Authors:  Kathleen T Durant; Alexa T McCray; Charles Safran
Journal:  Summit Transl Bioinform       Date:  2010-03-01
  5 in total
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1.  LESSONS LEARNED ABOUT PUBLIC HEALTH FROM ONLINE CROWD SURVEILLANCE.

Authors:  Shawndra Hill; Raina Merchant; Lyle Ungar
Journal:  Big Data       Date:  2013-09-10       Impact factor: 2.128

  1 in total

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