149 related articles for article (PubMed ID: 34493954)
1. Evaluating Drug Risk Using GAN and SMOTE Based on CFDA's Spontaneous Reporting Data.
Wei J; Feng G; Lu Z; Han P; Zhu Y; Huang W
J Healthc Eng; 2021; 2021():6033860. PubMed ID: 34493954
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training.
Chen Y; Zhou C; Li T; Wu H; Zhao X; Ye K; Liao J
J Biomed Inform; 2019 Aug; 96():103252. PubMed ID: 31323311
[TBL] [Abstract][Full Text] [Related]
5. Analysis of spontaneous reporting of suspected adverse drug reactions for non-analgesic over-the-counter drugs from 2008 to 2017.
Bukic J; Rusic D; Mas P; Karabatic D; Bozic J; Seselja Perisin A; Leskur D; Krnic D; Tomic S; Modun D
BMC Pharmacol Toxicol; 2019 Oct; 20(1):60. PubMed ID: 31627740
[TBL] [Abstract][Full Text] [Related]
6. A novel method for detecting credit card fraud problems.
Du H; Lv L; Wang H; Guo A
PLoS One; 2024; 19(3):e0294537. PubMed ID: 38446831
[TBL] [Abstract][Full Text] [Related]
7. Time series analysis of using the PDCA method combined with the Teach-back method to improve spontaneous reports of adverse drug reactions in a grade IIIA hospital in China.
Li B; Jiang L; Liao L; Chen Y; Xu Z; Wu N; Chen H; Wu P; Liu T
Eur J Clin Pharmacol; 2024 Mar; 80(3):383-393. PubMed ID: 38151504
[TBL] [Abstract][Full Text] [Related]
8. Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports.
Liu R; Zhang P
BMC Med Inform Decis Mak; 2019 Dec; 19(1):279. PubMed ID: 31849321
[TBL] [Abstract][Full Text] [Related]
9. Adverse drug reaction reporting: how can drug consumption information add to analyses using spontaneous reports?
Svendsen K; Halvorsen KH; Vorren S; Samdal H; Garcia B
Eur J Clin Pharmacol; 2018 Apr; 74(4):497-504. PubMed ID: 29255992
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of completeness of suspected adverse drug reaction reports submitted to the mexican national pharmacovigilance centre: a cross-sectional period-prevalence study.
Sánchez-Sánchez B; Altagracia-Martínez M; Kravzov-Jinich J; Moreno-Bonett C; Vázquez-Moreno E; Martínez-Núñez JM
Drug Saf; 2012 Oct; 35(10):837-44. PubMed ID: 22924896
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of patient reporting of adverse drug reactions to the UK 'Yellow Card Scheme': literature review, descriptive and qualitative analyses, and questionnaire surveys.
Avery AJ; Anderson C; Bond CM; Fortnum H; Gifford A; Hannaford PC; Hazell L; Krska J; Lee AJ; McLernon DJ; Murphy E; Shakir S; Watson MC
Health Technol Assess; 2011 May; 15(20):1-234, iii-iv. PubMed ID: 21545758
[TBL] [Abstract][Full Text] [Related]
12. Data mining for adverse drug reaction signals of daptomycin based on real-world data: a disproportionality analysis of the US Food and Drug Administration adverse event reporting system.
Chen JJ; Huo XC; Wang SX; Wang F; Zhao Q
Int J Clin Pharm; 2022 Dec; 44(6):1351-1360. PubMed ID: 36178607
[TBL] [Abstract][Full Text] [Related]
13. Are consumers ready to take part in the Pharmacovigilance System?--a Portuguese preliminary study concerning ADR reporting.
Matos C; van Hunsel F; Joaquim J
Eur J Clin Pharmacol; 2015 Jul; 71(7):883-90. PubMed ID: 26004569
[TBL] [Abstract][Full Text] [Related]
14. Social Media Analytics for Pharmacovigilance of Antiepileptic Drugs.
Yahya AA; Asiri Y; Alyami I
Comput Math Methods Med; 2022; 2022():8965280. PubMed ID: 35027943
[TBL] [Abstract][Full Text] [Related]
15. Potential for Detection of Safety Signals for Over-the-Counter Medicines Using National ADR Spontaneous Reporting Data: The Example of OTC NSAID-Associated Gastrointestinal Bleeding.
Amatya E; Fois R; Williams KA; Pont LG
Pharmacy (Basel); 2020 Sep; 8(3):. PubMed ID: 32957485
[TBL] [Abstract][Full Text] [Related]
16. Pharmacovigilance in China: development and challenges.
Zhao Y; Wang T; Li G; Sun S
Int J Clin Pharm; 2018 Aug; 40(4):823-831. PubMed ID: 30051225
[TBL] [Abstract][Full Text] [Related]
17. Traditional Chinese medicine pharmacovigilance in signal detection: decision tree-based data classification.
Wei JX; Wang J; Zhu YX; Sun J; Xu HM; Li M
BMC Med Inform Decis Mak; 2018 Mar; 18(1):19. PubMed ID: 29523131
[TBL] [Abstract][Full Text] [Related]
18. CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.
Ma L; Fan S
BMC Bioinformatics; 2017 Mar; 18(1):169. PubMed ID: 28292263
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Classifying adverse drug reactions from imbalanced twitter data.
Dai HJ; Wang CK
Int J Med Inform; 2019 Sep; 129():122-132. PubMed ID: 31445246
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]