Big Data and Adverse Drug Reaction Detection
| Autor: | Nigam H. Shah, William DuMochel, Rave Harpaz |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Pharmacology
medicine.medical_specialty Databases Factual business.industry Extramural Big data MEDLINE Translational medicine medicine.disease 030226 pharmacology & pharmacy Pharmacovigilance 03 medical and health sciences 0302 clinical medicine Pharmacodynamics Adverse Drug Reaction Reporting Systems Humans Medicine Pharmacology (medical) 030212 general & internal medicine Drug reaction business Intensive care medicine Adverse drug reaction |
| Zdroj: | Clinical Pharmacology & Therapeutics. 99:268-270 |
| ISSN: | 0009-9236 |
| DOI: | 10.1002/cpt.302 |
| Popis: | Big Data holds the promise of fundamentally transforming the manner in which adverse drug reactions can be identified and evaluated. This commentary discusses new data sources that are envisioned to form a Big Data-enabled pharmacovigilance system and the role of these data in powering the future of adverse drug reactions detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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