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.
141 related articles for article (PubMed ID: 38630680)
21. Mining heterogeneous networks with topological features constructed from patient-contributed content for pharmacovigilance. Yang CC; Yang H Artif Intell Med; 2018 Aug; 90():42-52. PubMed ID: 30093253 [TBL] [Abstract][Full Text] [Related]
22. Simulating adverse event spontaneous reporting systems as preferential attachment networks: application to the Vaccine Adverse Event Reporting System. Scott J; Botsis T; Ball R Appl Clin Inform; 2014; 5(1):206-18. PubMed ID: 24734134 [TBL] [Abstract][Full Text] [Related]
23. A Feasibility Study of Drug-Drug Interaction Signal Detection in Regular Pharmacovigilance. Hult S; Sartori D; Bergvall T; Hedfors Vidlin S; Grundmark B; Ellenius J; Norén GN Drug Saf; 2020 Aug; 43(8):775-785. PubMed ID: 32681439 [TBL] [Abstract][Full Text] [Related]
24. Validation of statistical signal detection procedures in eudravigilance post-authorization data: a retrospective evaluation of the potential for earlier signalling. Alvarez Y; Hidalgo A; Maignen F; Slattery J Drug Saf; 2010 Jun; 33(6):475-87. PubMed ID: 20486730 [TBL] [Abstract][Full Text] [Related]
25. Evaluation of statistical methods for safety signal detection: a simulation study. Chen M; Zhu L; Chiruvolu P; Jiang Q Pharm Stat; 2015; 14(1):11-9. PubMed ID: 25329607 [TBL] [Abstract][Full Text] [Related]
26. Data mining for detecting signals of adverse drug reaction of doxycycline using the Korea adverse event reporting system database. Heo JY; Cho MK; Kim S J Dermatolog Treat; 2022 Jun; 33(4):2192-2197. PubMed ID: 34057876 [TBL] [Abstract][Full Text] [Related]
27. A reference set of clinically relevant adverse drug-drug interactions. Kontsioti E; Maskell S; Dutta B; Pirmohamed M Sci Data; 2022 Mar; 9(1):72. PubMed ID: 35246559 [TBL] [Abstract][Full Text] [Related]
28. Reporting patterns indicative of adverse drug interactions: a systematic evaluation in VigiBase. Strandell J; Caster O; Bate A; Norén N; Edwards IR Drug Saf; 2011 Mar; 34(3):253-66. PubMed ID: 21332249 [TBL] [Abstract][Full Text] [Related]
29. 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]
30. Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review. Cocco M; Carnovale C; Clementi E; Barbieri MA; Battini V; Sessa M Expert Rev Clin Pharmacol; 2024; 17(5-6):441-453. PubMed ID: 38619027 [TBL] [Abstract][Full Text] [Related]
31. Identification of adverse drug reactions in geriatric inpatients using a computerised drug database. Egger T; Dormann H; Ahne G; Runge U; Neubert A; Criegee-Rieck M; Gassmann KG; Brune K Drugs Aging; 2003; 20(10):769-76. PubMed ID: 12875612 [TBL] [Abstract][Full Text] [Related]
32. Identifying high risk medications causing potential drug-drug interactions in outpatients: A prescription database study based on an online surveillance system. Toivo TM; Mikkola JA; Laine K; Airaksinen M Res Social Adm Pharm; 2016; 12(4):559-68. PubMed ID: 26459026 [TBL] [Abstract][Full Text] [Related]
33. Signal Detection for Cardiovascular Adverse Events of DPP-4 Inhibitors Using the Korea Adverse Event Reporting System Database, 2008-2016. Yi H; Lee JH; Shin JY Yonsei Med J; 2019 Feb; 60(2):200-207. PubMed ID: 30666842 [TBL] [Abstract][Full Text] [Related]
34. 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]
35. Exploration of statistical shrinkage parameters of disproportionality methods in spontaneous reporting system of China. Wang J; Ye XF; Guo XJ; Zhu TT; Qi N; Hou YF; Zhang TY; Shi WT; Wei X; Liu YZ; Wu GZ; He J Pharmacoepidemiol Drug Saf; 2015 Sep; 24(9):962-70. PubMed ID: 26095121 [TBL] [Abstract][Full Text] [Related]
36. Supervised signal detection for adverse drug reactions in medication dispensing data. Hoang T; Liu J; Roughead E; Pratt N; Li J Comput Methods Programs Biomed; 2018 Jul; 161():25-38. PubMed ID: 29852965 [TBL] [Abstract][Full Text] [Related]
37. Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. Zhan C; Roughead E; Liu L; Pratt N; Li J J Biomed Inform; 2020 Dec; 112():103603. PubMed ID: 33153975 [TBL] [Abstract][Full Text] [Related]
38. A signal detection method to detect adverse drug reactions using a parametric time-to-event model in simulated cohort data. Cornelius VR; Sauzet O; Evans SJ Drug Saf; 2012 Jul; 35(7):599-610. PubMed ID: 22702641 [TBL] [Abstract][Full Text] [Related]
39. Enhancing antidepressant safety surveillance: comparative analysis of adverse drug reaction signals in spontaneous reporting and healthcare claims databases. Kim T; Jiang X; Noh Y; Kim M; Hong SH Front Pharmacol; 2023; 14():1291934. PubMed ID: 38259269 [No Abstract] [Full Text] [Related]
40. Potential use of data-mining algorithms for the detection of 'surprise' adverse drug reactions. Hauben M; Horn S; Reich L Drug Saf; 2007; 30(2):143-55. PubMed ID: 17253879 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]