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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 38241386)

  • 1. A Bayesian generating function approach to adverse drug reaction screening.
    Northardt T
    PLoS One; 2024; 19(1):e0297189. PubMed ID: 38241386
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of different methods for causality assessment of adverse drug reactions.
    Behera SK; Das S; Xavier AS; Velupula S; Sandhiya S
    Int J Clin Pharm; 2018 Aug; 40(4):903-910. PubMed ID: 30051231
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of the Liverpool Causality Assessment Tool vs. the Naranjo Scale for predicting the likelihood of an adverse drug reaction: A retrospective cohort study.
    Um SH; Abuzgaia A; Rieder M
    Br J Clin Pharmacol; 2023 Aug; 89(8):2407-2412. PubMed ID: 36849649
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A quantitative approach of using genetic algorithm in designing a probability scoring system of an adverse drug reaction assessment system.
    Koh Y; Yap CW; Li SC
    Int J Med Inform; 2008 Jun; 77(6):421-30. PubMed ID: 17921048
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A tailor-made approach for causality assessment for ADR reports on drugs and vaccines.
    Oosterhuis I; Zweers P; Rümke H; Muller-Hansma A; van Puijenbroek EP
    Pharmacoepidemiol Drug Saf; 2019 Apr; 28(4):544-550. PubMed ID: 30168222
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A study of agreement between the Naranjo algorithm and WHO-UMC criteria for causality assessment of adverse drug reactions.
    Belhekar MN; Taur SR; Munshi RP
    Indian J Pharmacol; 2014; 46(1):117-20. PubMed ID: 24550597
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Causality assessment of adverse drug reactions in neonates: a comparative study between Naranjo's algorithm and Du's tool.
    Leopoldino RWD; de Oliveira LVS; Fernandes FEM; de Lima Costa HTM; Vale LMP; Oliveira AG; Martins RR
    Int J Clin Pharm; 2023 Aug; 45(4):1007-1013. PubMed ID: 37212967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic assessment of adverse drug reaction reports with interactive visual exploration.
    Gao Z; Yang Y; Meng R; Yu J; Zhou L
    Sci Rep; 2022 Apr; 12(1):6777. PubMed ID: 35474237
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Confidence and accuracy in identification of adverse drug reactions reported by outpatients.
    Kampichit S; Pratipanawatr T; Jarernsiripornkul N
    Int J Clin Pharm; 2018 Dec; 40(6):1559-1567. PubMed ID: 30367372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network.
    Rodrigues PP; Ferreira-Santos D; Silva A; Polónia J; Ribeiro-Vaz I
    Artif Intell Med; 2018 Sep; 91():12-22. PubMed ID: 30077492
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accuracy in patient-reported adverse drug reactions and their recognition: a mixed-methods study.
    Kampichit S; Srisuriyachanchai W; Pratipanawatr T; Jarernsiripornkul N
    Int J Clin Pharm; 2024 Apr; 46(2):401-410. PubMed ID: 38151687
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of three pharmacovigilance algorithms in the ICU setting: a retrospective and prospective evaluation of ADRs.
    Kane-Gill SL; Forsberg EA; Verrico MM; Handler SM
    Drug Saf; 2012 Aug; 35(8):645-53. PubMed ID: 22720659
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Toward Kidney-Specific Causality Assessment Tool.
    Kaya M; Duru M; Gulmez SE
    Clin Ther; 2022 Jul; 44(7):e59-e75. PubMed ID: 35725506
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inferring ADR causality by predicting the Naranjo Score from Clinical Notes.
    Rawat BPS; Jagannatha A; Liu F; Yu H
    AMIA Annu Symp Proc; 2020; 2020():1041-1049. PubMed ID: 33936480
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Causality assessment between reported fatal cerebral haemorrhage and suspected drugs: developing a new algorithm based on the analysis of the Japanese Adverse Event Report (JADER) database and literature review.
    Ohta M
    Eur J Clin Pharmacol; 2021 Oct; 77(10):1443-1452. PubMed ID: 33829295
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Study on the Increased Probability of Detecting Adverse Drug Reactions Based on Bayes' Theorem: Evaluation of the Usefulness of Information on the Onset Timing of Adverse Drug Reactions.
    Oshima S; Enjuji T; Negishi A; Akimoto H; Ohara K; Okita M; Numajiri S; Inoue N; Ohshima S; Terao A; Kobayashi D
    Biol Pharm Bull; 2017 Sep; 40(9):1389-1398. PubMed ID: 28579595
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Surveillance of adverse drug reactions at an adverse drug reaction monitoring centre in Central India: a 7-year surveillance study.
    Sharma M; Baghel R; Thakur S; Adwal S
    BMJ Open; 2021 Oct; 11(10):e052737. PubMed ID: 34607871
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prospective identification and causality evaluation of suspected adverse drug reactions in neonates.
    Roberts EK; Hawcutt DB; Turner MA
    Br J Clin Pharmacol; 2021 Mar; 87(3):1541-1546. PubMed ID: 32696451
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adverse drug reactions in the ambulatory internal patients at the emergency department: Focus on causality assessment and drug-drug interactions.
    Verbič MD; Brvar M; Kos MK
    Acta Pharm; 2023 Jun; 73(2):195-210. PubMed ID: 37307369
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of three methods (an updated logistic probabilistic method, the Naranjo and Liverpool algorithms) for the evaluation of routine pharmacovigilance case reports using consensual expert judgement as reference.
    Théophile H; André M; Miremont-Salamé G; Arimone Y; Bégaud B
    Drug Saf; 2013 Oct; 36(10):1033-44. PubMed ID: 23828659
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.