These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
219 related articles for article (PubMed ID: 22166012)
1. Mining FDA drug labels using an unsupervised learning technique--topic modeling. Bisgin H; Liu Z; Fang H; Xu X; Tong W BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S11. PubMed ID: 22166012 [TBL] [Abstract][Full Text] [Related]
2. Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA. Wu L; Ingle T; Liu Z; Zhao-Wong A; Harris S; Thakkar S; Zhou G; Yang J; Xu J; Mehta D; Ge W; Tong W; Fang H BMC Bioinformatics; 2019 Mar; 20(Suppl 2):97. PubMed ID: 30871458 [TBL] [Abstract][Full Text] [Related]
3. Investigating drug repositioning opportunities in FDA drug labels through topic modeling. Bisgin H; Liu Z; Kelly R; Fang H; Xu X; Tong W BMC Bioinformatics; 2012; 13 Suppl 15(Suppl 15):S6. PubMed ID: 23046522 [TBL] [Abstract][Full Text] [Related]
4. Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels. Tiftikci M; Özgür A; He Y; Hur J BMC Bioinformatics; 2019 Dec; 20(Suppl 21):707. PubMed ID: 31865904 [TBL] [Abstract][Full Text] [Related]
5. Review of FDA Amendments Act Section 921 Experience in Posting Data-mining Results from the FAERS Database. Beninger P; Murray M Clin Ther; 2021 Feb; 43(2):380-395. PubMed ID: 33504449 [TBL] [Abstract][Full Text] [Related]
6. A dataset of 200 structured product labels annotated for adverse drug reactions. Demner-Fushman D; Shooshan SE; Rodriguez L; Aronson AR; Lang F; Rogers W; Roberts K; Tonning J Sci Data; 2018 Jan; 5():180001. PubMed ID: 29381145 [TBL] [Abstract][Full Text] [Related]
7. Mining FDA drug labels for medical conditions. Li Q; Deleger L; Lingren T; Zhai H; Kaiser M; Stoutenborough L; Jegga AG; Cohen KB; Solti I BMC Med Inform Decis Mak; 2013 Apr; 13():53. PubMed ID: 23617267 [TBL] [Abstract][Full Text] [Related]
8. Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology. Ly T; Pamer C; Dang O; Brajovic S; Haider S; Botsis T; Milward D; Winter A; Lu S; Ball R J Biomed Inform; 2018 Jul; 83():73-86. PubMed ID: 29860093 [TBL] [Abstract][Full Text] [Related]
9. Mining Adverse Events of Dietary Supplements from Product Labels by Topic Modeling. Wang Y; Gunashekar DR; Adam TJ; Zhang R Stud Health Technol Inform; 2017; 245():614-618. PubMed ID: 29295169 [TBL] [Abstract][Full Text] [Related]
10. Ontology-based literature mining and class effect analysis of adverse drug reactions associated with neuropathy-inducing drugs. Hur J; Özgür A; He Y J Biomed Semantics; 2018 Jun; 9(1):17. PubMed ID: 29880031 [TBL] [Abstract][Full Text] [Related]
11. Evaluation of Pre-marketing Factors to Predict Post-marketing Boxed Warnings and Safety Withdrawals. Schick A; Miller KL; Lanthier M; Dal Pan G; Nardinelli C Drug Saf; 2017 Jun; 40(6):497-503. PubMed ID: 28342075 [TBL] [Abstract][Full Text] [Related]
12. Impact of United States Food and Drug Administration's boxed warnings on adverse drug reactions reporting rates and risk mitigation for multiple myeloma drugs. Garg V; Raisch DW; McKoy JM; Trifilio SM; Holbrook J; Edwards BJ; Belknap SM; Samaras AT; Nardone B; West DP Expert Opin Drug Saf; 2013 May; 12(3):299-307. PubMed ID: 23480866 [TBL] [Abstract][Full Text] [Related]
13. RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Wu L; Gray M; Dang O; Xu J; Fang H; Tong W Exp Biol Med (Maywood); 2023 Nov; 248(21):1937-1943. PubMed ID: 38166420 [TBL] [Abstract][Full Text] [Related]
14. Adverse Event extraction from Structured Product Labels using the Event-based Text-mining of Health Electronic Records (ETHER) system. Pandey A; Kreimeyer K; Foster M; Dang O; Ly T; Wang W; Forshee R; Botsis T Health Informatics J; 2019 Dec; 25(4):1232-1243. PubMed ID: 29359620 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Differences between the United States and Japan in labels of oncological drugs. Jayaputra K; Ono S Pharmacoepidemiol Drug Saf; 2017 Feb; 26(2):143-151. PubMed ID: 27670850 [TBL] [Abstract][Full Text] [Related]
17. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas. Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. PISTON: Predicting drug indications and side effects using topic modeling and natural language processing. Jang G; Lee T; Hwang S; Park C; Ahn J; Seo S; Hwang Y; Yoon Y J Biomed Inform; 2018 Nov; 87():96-107. PubMed ID: 30268842 [TBL] [Abstract][Full Text] [Related]
20. Ethical and Practical Considerations in Removing Black Box Warnings from Drug Labels. Yeh JS; Sarpatwari A; Kesselheim AS Drug Saf; 2016 Aug; 39(8):709-14. PubMed ID: 27000800 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]