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.
191 related articles for article (PubMed ID: 30591027)
1. Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data. Zheng C; Xu R BMC Bioinformatics; 2018 Dec; 19(Suppl 17):500. PubMed ID: 30591027 [TBL] [Abstract][Full Text] [Related]
2. Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection. Xu R; Wang Q BMC Bioinformatics; 2014 Jan; 15():17. PubMed ID: 24428898 [TBL] [Abstract][Full Text] [Related]
3. The Alzheimer's comorbidity phenome: mining from a large patient database and phenome-driven genetics prediction. Zheng C; Xu R JAMIA Open; 2019 Apr; 2(1):131-138. PubMed ID: 30944912 [TBL] [Abstract][Full Text] [Related]
4. Comparing drug safety of hepatitis C therapies using post-market data. Huang J; Zhang X; Tong J; Du J; Duan R; Yang L; Moore JH; Tao C; Chen Y BMC Med Inform Decis Mak; 2019 Aug; 19(Suppl 4):147. PubMed ID: 31391106 [TBL] [Abstract][Full Text] [Related]
5. Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records. Pan Y; Xu R BMC Med Inform Decis Mak; 2022 Jun; 22(Suppl 2):155. PubMed ID: 35710401 [TBL] [Abstract][Full Text] [Related]
6. Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS). Xu R; Wang Q J Biomed Inform; 2014 Feb; 47():171-7. PubMed ID: 24177320 [TBL] [Abstract][Full Text] [Related]
7. Validation of New Signal Detection Methods for Web Query Log Data Compared to Signal Detection Algorithms Used With FAERS. Colilla S; Tov EY; Zhang L; Kurzinger ML; Tcherny-Lessenot S; Penfornis C; Jen S; Gonzalez DS; Caubel P; Welsh S; Juhaeri J Drug Saf; 2017 May; 40(5):399-408. PubMed ID: 28155198 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Constructing a Gene-Drug-Adverse Reactions Network and Inferring Potential Gene-Adverse Reactions Associations Using a Text Mining Approach. Sui M; Cui L Stud Health Technol Inform; 2017; 245():531-535. PubMed ID: 29295151 [TBL] [Abstract][Full Text] [Related]
10. Exploring the FDA adverse event reporting system to generate hypotheses for monitoring of disease characteristics. Fang H; Su Z; Wang Y; Miller A; Liu Z; Howard PC; Tong W; Lin SM Clin Pharmacol Ther; 2014 May; 95(5):496-8. PubMed ID: 24448476 [TBL] [Abstract][Full Text] [Related]
11. Association rule mining in the US Vaccine Adverse Event Reporting System (VAERS). Wei L; Scott J Pharmacoepidemiol Drug Saf; 2015 Sep; 24(9):922-33. PubMed ID: 26045284 [TBL] [Abstract][Full Text] [Related]
12. Analysis of Spontaneous Postmarket Case Reports Submitted to the FDA Regarding Thromboembolic Adverse Events and JAK Inhibitors. Verden A; Dimbil M; Kyle R; Overstreet B; Hoffman KB Drug Saf; 2018 Apr; 41(4):357-361. PubMed ID: 29196988 [TBL] [Abstract][Full Text] [Related]
13. Can Disproportionality Analysis of Post-marketing Case Reports be Used for Comparison of Drug Safety Profiles? Michel C; Scosyrev E; Petrin M; Schmouder R Clin Drug Investig; 2017 May; 37(5):415-422. PubMed ID: 28224371 [TBL] [Abstract][Full Text] [Related]
14. [Analysis of Spontaneously Reported Adverse Events]. Nakamura M Yakugaku Zasshi; 2016; 136(4):549-56. PubMed ID: 27040337 [TBL] [Abstract][Full Text] [Related]
15. Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database. Szarfman A; Machado SG; O'Neill RT Drug Saf; 2002; 25(6):381-92. PubMed ID: 12071774 [TBL] [Abstract][Full Text] [Related]
16. Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Cai R; Liu M; Hu Y; Melton BL; Matheny ME; Xu H; Duan L; Waitman LR Artif Intell Med; 2017 Feb; 76():7-15. PubMed ID: 28363289 [TBL] [Abstract][Full Text] [Related]
17. Post-licensure surveillance of trivalent live attenuated influenza vaccine in adults, United States, Vaccine Adverse Event Reporting System (VAERS), July 2005-June 2013. Haber P; Moro PL; McNeil MM; Lewis P; Woo EJ; Hughes H; Shimabukuro TT Vaccine; 2014 Nov; 32(48):6499-504. PubMed ID: 25258101 [TBL] [Abstract][Full Text] [Related]
18. Association between statin use and cancer: data mining of a spontaneous reporting database and a claims database. Fujimoto M; Higuchi T; Hosomi K; Takada M Int J Med Sci; 2015; 12(3):223-33. PubMed ID: 25678839 [TBL] [Abstract][Full Text] [Related]
19. Multiple sclerosis as an adverse drug reaction: clues from the FDA Adverse Event Reporting System. Antonazzo IC; Raschi E; Forcesi E; Riise T; Bjornevik K; Baldin E; De Ponti F; Poluzzi E Expert Opin Drug Saf; 2018 Sep; 17(9):869-874. PubMed ID: 30058390 [TBL] [Abstract][Full Text] [Related]
20. Identifying plausible adverse drug reactions using knowledge extracted from the literature. Shang N; Xu H; Rindflesch TC; Cohen T J Biomed Inform; 2014 Dec; 52():293-310. PubMed ID: 25046831 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]