517 related articles for article (PubMed ID: 27766937)
1. Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams.
Eshleman R; Singh R
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):335. PubMed ID: 27766937
[TBL] [Abstract][Full Text] [Related]
2. An ensemble method for extracting adverse drug events from social media.
Liu J; Zhao S; Zhang X
Artif Intell Med; 2016 Jun; 70():62-76. PubMed ID: 27431037
[TBL] [Abstract][Full Text] [Related]
3. Filtering big data from social media--Building an early warning system for adverse drug reactions.
Yang M; Kiang M; Shang W
J Biomed Inform; 2015 Apr; 54():230-40. PubMed ID: 25688695
[TBL] [Abstract][Full Text] [Related]
4. SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media.
Liu J; Zhao S; Wang G
Artif Intell Med; 2018 Jan; 84():34-49. PubMed ID: 29111222
[TBL] [Abstract][Full Text] [Related]
5. DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter.
Magge A; Tutubalina E; Miftahutdinov Z; Alimova I; Dirkson A; Verberne S; Weissenbacher D; Gonzalez-Hernandez G
J Am Med Inform Assoc; 2021 Sep; 28(10):2184-2192. PubMed ID: 34270701
[TBL] [Abstract][Full Text] [Related]
6. Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.
Nikfarjam A; Sarker A; O'Connor K; Ginn R; Gonzalez G
J Am Med Inform Assoc; 2015 May; 22(3):671-81. PubMed ID: 25755127
[TBL] [Abstract][Full Text] [Related]
7. Portable automatic text classification for adverse drug reaction detection via multi-corpus training.
Sarker A; Gonzalez G
J Biomed Inform; 2015 Feb; 53():196-207. PubMed ID: 25451103
[TBL] [Abstract][Full Text] [Related]
8. 3D pharmacophoric similarity improves multi adverse drug event identification in pharmacovigilance.
Vilar S; Tatonetti NP; Hripcsak G
Sci Rep; 2015 Mar; 5():8809. PubMed ID: 25744369
[TBL] [Abstract][Full Text] [Related]
9. SOCIAL MEDIA MINING SHARED TASK WORKSHOP.
Sarker A; Nikfarjam A; Gonzalez G
Pac Symp Biocomput; 2016; 21():581-92. PubMed ID: 26776221
[TBL] [Abstract][Full Text] [Related]
10. Mining association patterns of drug-interactions using post marketing FDA's spontaneous reporting data.
Ibrahim H; Saad A; Abdo A; Sharaf Eldin A
J Biomed Inform; 2016 Apr; 60():294-308. PubMed ID: 26903152
[TBL] [Abstract][Full Text] [Related]
11. An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine.
El-Allaly ED; Sarrouti M; En-Nahnahi N; Ouatik El Alaoui S
Comput Methods Programs Biomed; 2019 Jul; 176():33-41. PubMed ID: 31200909
[TBL] [Abstract][Full Text] [Related]
12. Mining Adverse Drug Reactions in Social Media with Named Entity Recognition and Semantic Methods.
Chen X; Deldossi M; Aboukhamis R; Faviez C; Dahamna B; Karapetiantz P; Guenegou-Arnoux A; Girardeau Y; Guillemin-Lanne S; Lillo-Le-Louët A; Texier N; Burgun A; Katsahian S
Stud Health Technol Inform; 2017; 245():322-326. PubMed ID: 29295108
[TBL] [Abstract][Full Text] [Related]
13. Complementing the US Food and Drug Administration Adverse Event Reporting System With Adverse Drug Reaction Reporting From Social Media: Comparative Analysis.
Zhou Z; Hultgren KE
JMIR Public Health Surveill; 2020 Sep; 6(3):e19266. PubMed ID: 32996889
[TBL] [Abstract][Full Text] [Related]
14. Pharmacovigilance on twitter? Mining tweets for adverse drug reactions.
O'Connor K; Pimpalkhute P; Nikfarjam A; Ginn R; Smith KL; Gonzalez G
AMIA Annu Symp Proc; 2014; 2014():924-33. PubMed ID: 25954400
[TBL] [Abstract][Full Text] [Related]
15. Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation.
Dasgupta S; Jayagopal A; Jun Hong AL; Mariappan R; Rajan V
JMIR Med Inform; 2021 Oct; 9(10):e32730. PubMed ID: 34694230
[TBL] [Abstract][Full Text] [Related]
16. Authenticity and credibility aware detection of adverse drug events from social media.
Hoang T; Liu J; Pratt N; Zheng VW; Chang KC; Roughead E; Li J
Int J Med Inform; 2018 Dec; 120():101-115. PubMed ID: 30409335
[TBL] [Abstract][Full Text] [Related]
17. Evaluating Twitter as a complementary data source for pharmacovigilance.
Lardon J; Bellet F; Aboukhamis R; Asfari H; Souvignet J; Jaulent MC; Beyens MN; Lillo-LeLouët A; Bousquet C
Expert Opin Drug Saf; 2018 Aug; 17(8):763-774. PubMed ID: 29991282
[TBL] [Abstract][Full Text] [Related]
18. Exploring Spanish health social media for detecting drug effects.
Segura-Bedmar I; Martínez P; Revert R; Moreno-Schneider J
BMC Med Inform Decis Mak; 2015; 15 Suppl 2(Suppl 2):S6. PubMed ID: 26100267
[TBL] [Abstract][Full Text] [Related]
19. Sorting Through the Safety Data Haystack: Using Machine Learning to Identify Individual Case Safety Reports in Social-Digital Media.
Comfort S; Perera S; Hudson Z; Dorrell D; Meireis S; Nagarajan M; Ramakrishnan C; Fine J
Drug Saf; 2018 Jun; 41(6):579-590. PubMed ID: 29446035
[TBL] [Abstract][Full Text] [Related]
20. Authenticity and credibility aware detection of adverse drug events from social media.
Hoang T; Liu J; Pratt N; Zheng VW; Chang KC; Roughead E; Li J
Int J Med Inform; 2018 Dec; 120():157-171. PubMed ID: 30409341
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]