- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1480
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Standardizing adverse drug event reporting data ; volume:5 ; number:1 ; day:12 ; month:8 ; year:2014 ; pages:1-13 ; date:12.2014
Journal of biomedical semantics ; 5, Heft 1 (12.8.2014), 1-13, 12.2014
- Classification
-
Medizin, Gesundheit
- Creator
-
Wang, Liwei
Jiang, Guoqian
Li, Dingcheng
Liu, Hongfang
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/2041-1480-5-36
- URN
-
urn:nbn:de:101:1-2019060923401975893052
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wang, Liwei
- Jiang, Guoqian
- Li, Dingcheng
- Liu, Hongfang
- SpringerLink (Online service)
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Emerging Toxicities of Antibody-Drug Conjugates for Breast Cancer: Clinical Prioritization of Adverse Events from the FDA Adverse Event Reporting System
Predicting potential adverse events using safety data from marketed drugs
Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions
Drug-Induced Hair Loss: Analysis of the Food and Drug Administration’s Adverse Events Reporting System Database
Evaluating adverse drug event reporting in administrative data from emergency departments: a validation study
Combining Social Media and FDA Adverse Event Reporting System to Detect Adverse Drug Reactions
Consumers’ adverse drug event reporting via community pharmacists: three stakeholder perception
Spontaneous Reporting on Adverse Events by Consumers in the United States: An Analysis of the Food and Drug Administration Adverse Event Reporting System Database
Adverse event reporting in adult intensive care units and the impact of a multifaceted intervention on drug-related adverse events
Possible adverse events of imidazole antifungal drugs during treatment of vulvovaginal candidiasis: analysis of the FDA Adverse Event Reporting System
Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques
Seasonal and Geographic Variation in Adverse Event Reporting
Emerging Toxicities of Antibody-Drug Conjugates for Breast Cancer: Clinical Prioritization of Adverse Events from the FDA Adverse Event Reporting System
Predicting potential adverse events using safety data from marketed drugs
Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions
Drug-Induced Hair Loss: Analysis of the Food and Drug Administration’s Adverse Events Reporting System Database
Evaluating adverse drug event reporting in administrative data from emergency departments: a validation study
Combining Social Media and FDA Adverse Event Reporting System to Detect Adverse Drug Reactions
Consumers’ adverse drug event reporting via community pharmacists: three stakeholder perception
Spontaneous Reporting on Adverse Events by Consumers in the United States: An Analysis of the Food and Drug Administration Adverse Event Reporting System Database
Adverse event reporting in adult intensive care units and the impact of a multifaceted intervention on drug-related adverse events
Possible adverse events of imidazole antifungal drugs during treatment of vulvovaginal candidiasis: analysis of the FDA Adverse Event Reporting System
Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques
Seasonal and Geographic Variation in Adverse Event Reporting
Emerging Toxicities of Antibody-Drug Conjugates for Breast Cancer: Clinical Prioritization of Adverse Events from the FDA Adverse Event Reporting System
Predicting potential adverse events using safety data from marketed drugs
Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions