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 *

707 related articles for article (PubMed ID: 29852965)

  • 1. 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]  

  • 2. Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals.
    Jeong E; Park N; Choi Y; Park RW; Yoon D
    PLoS One; 2018; 13(11):e0207749. PubMed ID: 30462745
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases.
    Zheng Y; Peng H; Zhang X; Zhao Z; Yin J; Li J
    BMC Bioinformatics; 2018 Dec; 19(Suppl 19):517. PubMed ID: 30598065
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessing the performance characteristics of signals used by a clinical event monitor to detect adverse drug reactions in the nursing home.
    Handler SM; Hanlon JT; Perera S; Saul MI; Fridsma DB; Visweswaran S; Studenski SA; Roumani YF; Castle NG; Nace DA; Becich MJ
    AMIA Annu Symp Proc; 2008 Nov; 2008():278-82. PubMed ID: 18998853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early Detection of Adverse Drug Reaction Signals by Association Rule Mining Using Large-Scale Administrative Claims Data.
    Yamamoto H; Kayanuma G; Nagashima T; Toda C; Nagayasu K; Kaneko S
    Drug Saf; 2023 Apr; 46(4):371-389. PubMed ID: 36828947
    [TBL] [Abstract][Full Text] [Related]  

  • 6. E-pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions.
    Neubert A; Dormann H; Prokosch HU; Bürkle T; Rascher W; Sojer R; Brune K; Criegee-Rieck M
    Br J Clin Pharmacol; 2013 Sep; 76 Suppl 1(Suppl 1):69-77. PubMed ID: 23586589
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. The validity of sequence symmetry analysis (SSA) for adverse drug reaction signal detection.
    Wahab IA; Pratt NL; Wiese MD; Kalisch LM; Roughead EE
    Pharmacoepidemiol Drug Saf; 2013 May; 22(5):496-502. PubMed ID: 23412832
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Information on adverse drug reactions-Proof of principle for a structured database that allows customization of drug information.
    Kusch MKP; Zien A; Hachenberg C; Haefeli WE; Seidling HM
    Int J Med Inform; 2020 Jan; 133():103970. PubMed ID: 31704490
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection.
    Nikfarjam A; Ransohoff JD; Callahan A; Jones E; Loew B; Kwong BY; Sarin KY; Shah NH
    JMIR Public Health Surveill; 2019 Jun; 5(2):e11264. PubMed ID: 31162134
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Time to onset in statistical signal detection revisited: A follow-up study in long-term onset adverse drug reactions.
    Scholl JHG; van Hunsel FPAM; Hak E; van Puijenbroek EP
    Pharmacoepidemiol Drug Saf; 2019 Oct; 28(10):1283-1289. PubMed ID: 31189217
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Methods and systems to detect adverse drug reactions in hospitals.
    Thürmann PA
    Drug Saf; 2001; 24(13):961-8. PubMed ID: 11735652
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Machine Learning for Detection of Safety Signals From Spontaneous Reporting System Data: Example of Nivolumab and Docetaxel.
    Bae JH; Baek YH; Lee JE; Song I; Lee JH; Shin JY
    Front Pharmacol; 2020; 11():602365. PubMed ID: 33628176
    [No 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. A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerations.
    Reps JM; Garibaldi JM; Aickelin U; Gibson JE; Hubbard RB
    J Biomed Inform; 2015 Aug; 56():356-68. PubMed ID: 26116429
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 36.