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Estimation of the prevalence of adverse drug reactions from social media
Highlights • Word2vec was utilized to discover variants of adverse drug reaction (ADR) terms in social media data. • The prevalence of ADR derived from social media using original lexicon has a decent correlation with that from official sources. • The lexicon derived by word2vec improved the correla...
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| Published in: | International journal of medical informatics (Shannon, Ireland) Ireland), 2017-06, Vol.102, p.130-137 |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c423t-b9128b070669eb99d9cfe55739b01b7959807353229d71514ad984b95b122dd33 |
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| cites | cdi_FETCH-LOGICAL-c423t-b9128b070669eb99d9cfe55739b01b7959807353229d71514ad984b95b122dd33 |
| container_end_page | 137 |
| container_issue | |
| container_start_page | 130 |
| container_title | International journal of medical informatics (Shannon, Ireland) |
| container_volume | 102 |
| creator | Nguyen, Thin Larsen, Mark E O’Dea, Bridianne Phung, Dinh Venkatesh, Svetha Christensen, Helen |
| description | Highlights • Word2vec was utilized to discover variants of adverse drug reaction (ADR) terms in social media data. • The prevalence of ADR derived from social media using original lexicon has a decent correlation with that from official sources. • The lexicon derived by word2vec improved the correlation. • Advanced cluster computing was employed to process 6.4 terabytes of data containing 3.8 billion records. |
| doi_str_mv | 10.1016/j.ijmedinf.2017.03.013 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 1386-5056 |
| ispartof | International journal of medical informatics (Shannon, Ireland), 2017-06, Vol.102, p.130-137 |
| issn | 1386-5056 1872-8243 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1899110005 |
| source | ScienceDirect Journals |
| subjects | Adverse drug reactions Australia - epidemiology Consumer health informatics Databases, Factual Drug informatics Drug-Related Side Effects and Adverse Reactions - epidemiology Drug-Related Side Effects and Adverse Reactions - prevention & control Humans Internal Medicine Machine Learning Other Prevalence Social media Social Media - utilization Word embedding Word representation |
| title | Estimation of the prevalence of adverse drug reactions from social media |
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