Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1179-1942
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning ; volume:42 ; number:9 ; day:23 ; month:5 ; year:2019 ; pages:1045-1053 ; date:9.2019
Drug safety ; 42, Heft 9 (23.5.2019), 1045-1053, 9.2019
- Creator
-
Ménard, Timothé
Barmaz, Yves
Koneswarakantha, Björn
Bowling, Rich
Popko, Leszek
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40264-019-00831-4
- URN
-
urn:nbn:de:101:1-2019123007500009779689
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 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
- Ménard, Timothé
- Barmaz, Yves
- Koneswarakantha, Björn
- Bowling, Rich
- Popko, Leszek
- SpringerLink (Online service)
Other Objects (12)
Semantically enabling clinical decision support recommendations
Structured Reporting in Clinical Routine
Clinical trial design enabling E-optimal treatment rules
Data-driven clinical decision processes: it’s time
Quality assurance of investigator initiated clinical trials in oncology
Updated clinical guidelines experience major reporting limitations
Towards Data-driven Dependability Assurance for Softwarized Industrial Networks
The Challenges of Assurance on Non-financial Reporting
Enabling Data-Driven Functions in Automotive E/E Architectures
External assurance and transparency in CSR reporting : European evidence
Assurance in vaccine efficacy clinical trial design based on immunological responses
Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
Semantically enabling clinical decision support recommendations
Structured Reporting in Clinical Routine
Clinical trial design enabling E-optimal treatment rules
Data-driven clinical decision processes: it’s time
Quality assurance of investigator initiated clinical trials in oncology
Updated clinical guidelines experience major reporting limitations
Towards Data-driven Dependability Assurance for Softwarized Industrial Networks
The Challenges of Assurance on Non-financial Reporting
Enabling Data-Driven Functions in Automotive E/E Architectures
External assurance and transparency in CSR reporting : European evidence
Assurance in vaccine efficacy clinical trial design based on immunological responses
Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
Semantically enabling clinical decision support recommendations
Structured Reporting in Clinical Routine
Clinical trial design enabling E-optimal treatment rules
Data-driven clinical decision processes: it’s time
Quality assurance of investigator initiated clinical trials in oncology
Updated clinical guidelines experience major reporting limitations
Towards Data-driven Dependability Assurance for Softwarized Industrial Networks
The Challenges of Assurance on Non-financial Reporting
Enabling Data-Driven Functions in Automotive E/E Architectures
External assurance and transparency in CSR reporting : European evidence
Assurance in vaccine efficacy clinical trial design based on immunological responses