Abstract：
:Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have relied on exact text matches to drugs of interest, and therefore suffer from the gap between formal drug lexicons and the informal nature of social media. The Reddit comment archive represents an ideal corpus for bridging this gap. We trained a word embedding model, RedMed, to facilitate the identification and retrieval of health entities from Reddit data. We compare the performance of our model trained on a consumer-generated corpus against publicly available models trained on expert-generated corpora. Our automated classification pipeline achieves an accuracy of 0.88 and a specificity of >0.9 across four different term classes. Of all drug mentions, an average of 79% (±0.5%) were exact matches to a generic or trademark drug name, 14% (±0.5%) were misspellings, 6.4% (±0.3%) were synonyms, and 0.13% (±0.05%) were pill marks. We find that our system captures an additional 20% of mentions; these would have been missed by approaches that rely solely on exact string matches. We provide a lexicon of misspellings and synonyms for 2978 drugs and a word embedding model trained on a health-oriented subset of Reddit.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Lavertu A,Altman RBdoi
10.1016/j.jbi.2019.103307subject
Has Abstractpub_date
2019-11-01 00:00:00pages
103307eissn
1532-0464issn
1532-0480pii
S1532-0464(19)30226-6journal_volume
99pub_type
杂志文章abstract：:The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) wi...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2012.01.009
更新日期：2012-08-01 00:00:00
abstract：:Modern biomedical research relies on the semantic integration of heterogeneous data sources to find data correlations. Researchers access multiple datasets of disparate origin, and identify elements-e.g. genes, compounds, pathways-that lead to interesting correlations. Normally, they must refer to additional public da...
journal_title：Journal of biomedical informatics
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abstract：:Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by logically connecting independent fragments of information units through explicit or implicit means. This area of research, which incorporates techniques from Natural Language Processing (NLP), Information Retrieval and...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章,评审
doi：10.1016/j.jbi.2019.103141
更新日期：2019-05-01 00:00:00
abstract：OBJECTIVE:Published clinical trials and high quality peer reviewed medical publications are considered as the main sources of evidence used for synthesizing systematic reviews or practicing Evidence Based Medicine (EBM). Finding all relevant published evidence for a particular medical case is a time and labour intensiv...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103321
更新日期：2019-12-01 00:00:00
abstract：:Large-scale mapping efforts have been done in attempts to migrate systems that use proprietary concepts to ones that use terminological standards such as SNOMED CT. As efforts move towards implementation, the target maps should retain a predictable structure including those targets requiring post-coordination of SNOME...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.03.004
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abstract：:Simulators for honing procedural skills (such as surgical skills and central venous catheter placement) have proven to be valuable tools for medical educators and students. While such simulations represent an effective paradigm in surgical education, there is an opportunity to add a layer of cognitive exercises to the...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.02.008
更新日期：2009-08-01 00:00:00
abstract：:Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation,...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.04.013
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.05.010
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.12.012
更新日期：2018-02-01 00:00:00
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journal_title：Journal of biomedical informatics
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doi：10.1016/j.jbi.2012.04.013
更新日期：2012-10-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.04.013
更新日期：2015-08-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.08.008
更新日期：2016-10-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.04.003
更新日期：2009-10-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103380
更新日期：2020-03-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.10.008
更新日期：2014-02-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.07.013
更新日期：2017-09-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.01.003
更新日期：2015-04-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.08.014
更新日期：2018-10-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.10.010
更新日期：2016-12-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2007.04.001
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.07.009
更新日期：2016-08-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103190
更新日期：2019-06-01 00:00:00
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.12.005
更新日期：2016-02-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.01.010
更新日期：2015-04-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.09.008
更新日期：2017-11-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.04.004
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journal_title：Journal of biomedical informatics
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doi：10.1016/j.jbi.2012.11.003
更新日期：2013-04-01 00:00:00
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journal_title：Journal of biomedical informatics
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doi：10.1016/j.jbi.2017.08.003
更新日期：2017-09-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.01.009
更新日期：2016-04-01 00:00:00
