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- Data Mining for Adverse Drug Events: Impact on Six Learning Styles.
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  2019/3/5
- Characteristics and trends of spontaneous reporting of therapeutic ineffectiveness in South Korea from 2000 to 2016.
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  2019/3/1
- Assessing Fluoroquinolone-associated Aortic Aneurysm and Dissection: Data Mining of the Public Version of the FDA Adverse Event Reporting System.
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  2019/2/28
- Multiple sclerosis outcomes after cancer immunotherapy.
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  2019/2/23
- Analysis of postmarketing safety data for proton-pump inhibitors reveals increased propensity for renal injury, electrolyte abnormalities, and nephrolithiasis.
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  2019/2/21
- Assessing the 2004-2018 Fentanyl Misusing Issues Reported to an International Range of Adverse Reporting Systems.
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  2019/2/19
- Differential completeness of spontaneous adverse event reports among hospitals/clinics, pharmacies, consumers, and pharmaceutical companies in South Korea.
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  2019/2/15
- A Comparison Study of Algorithms to Detect Drug-Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches.
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  2019/2/15
- ADEpedia-on-OHDSI: A Next Generation Pharmacovigilance Signal Detection Platform Using the OHDSI Common Data Model.
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  2019/2/11
- Evaluation of bleeding adverse events associated with oral P2Y12 inhibitors use in the Food and Drug Administration adverse event reporting system.
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  2019/2/11
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