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Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"
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| Published in: | Journal of the American Medical Informatics Association : JAMIA 2019-06, Vol.26 (6), p.577-579 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c384t-38b700b80e36d47075827775a259999e09ea4c800a7cf71a919ca61fc949a2433 |
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| cites | cdi_FETCH-LOGICAL-c384t-38b700b80e36d47075827775a259999e09ea4c800a7cf71a919ca61fc949a2433 |
| container_end_page | 579 |
| container_issue | 6 |
| container_start_page | 577 |
| container_title | Journal of the American Medical Informatics Association : JAMIA |
| container_volume | 26 |
| creator | Magge, Arjun Sarker, Abeed Nikfarjam, Azadeh Gonzalez-Hernandez, Graciela |
| description | |
| doi_str_mv | 10.1093/jamia/ocz013 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 1527-974X |
| ispartof | Journal of the American Medical Informatics Association : JAMIA, 2019-06, Vol.26 (6), p.577-579 |
| issn | 1527-974X 1067-5027 1527-974X |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6515520 |
| source | Open Access: PubMed Central; Oxford Journals Online |
| subjects | Correspondence Data Mining - methods Datasets as Topic Deep Learning Drug-Related Side Effects and Adverse Reactions Humans Natural Language Processing Neural Networks, Computer Pharmacovigilance Social Media |
| title | Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts" |
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