Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1179-1942
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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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
- Urheber
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Ménard, Timothé
Barmaz, Yves
Koneswarakantha, Björn
Bowling, Rich
Popko, Leszek
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40264-019-00831-4
- URN
-
urn:nbn:de:101:1-2019123007500009779689
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
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Beteiligte
- Ménard, Timothé
- Barmaz, Yves
- Koneswarakantha, Björn
- Bowling, Rich
- Popko, Leszek
- SpringerLink (Online service)
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