Supporting Pharmacovigilance Signal Validation and Prioritization with Analyses of Routinely Collected Health Data: Lessons Learned from an EHDEN Network Study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Supporting Pharmacovigilance Signal Validation and Prioritization with Analyses of Routinely Collected Health Data: Lessons Learned from an EHDEN Network Study ; volume:46 ; number:12 ; day:7 ; month:10 ; year:2023 ; pages:1335-1352 ; date:12.2023
Drug safety ; 46, Heft 12 (7.10.2023), 1335-1352, 12.2023
- Urheber
-
Gauffin, Oskar
Brand, Judith S.
Vidlin, Sara Hedfors
Sartori, Daniele
Asikainen, Suvi
Català, Martí
Chalabi, Etir
Dedman, Daniel
Danilovic, Ana
Duarte-Salles, Talita
García Morales, Maria Teresa
Hiltunen, Saara
Jödicke, Annika M.
Lazarevic, Milan
Mayer, Miguel A.
Miladinovic, Jelena
Mitchell, Joseph
Pistillo, Andrea
Ramírez-Anguita, Juan Manuel
Reyes, Carlen
Rudolph, Annette
Sandberg, Lovisa
Savage, Ruth
Schuemie, Martijn
Spasic, Dimitrije
Trinh, Nhung T. H.
Veljkovic, Nevena
Vujovic, Ankica
Wilde, Marcel de
Zekarias, Alem
Rijnbeek, Peter
Ryan, Patrick
Prieto-Alhambra, Daniel
Norén, G. Niklas
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40264-023-01353-w
- URN
-
urn:nbn:de:101:1-2024021510544258654453
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Gauffin, Oskar
- Brand, Judith S.
- Vidlin, Sara Hedfors
- Sartori, Daniele
- Asikainen, Suvi
- Català, Martí
- Chalabi, Etir
- Dedman, Daniel
- Danilovic, Ana
- Duarte-Salles, Talita
- García Morales, Maria Teresa
- Hiltunen, Saara
- Jödicke, Annika M.
- Lazarevic, Milan
- Mayer, Miguel A.
- Miladinovic, Jelena
- Mitchell, Joseph
- Pistillo, Andrea
- Ramírez-Anguita, Juan Manuel
- Reyes, Carlen
- Rudolph, Annette
- Sandberg, Lovisa
- Savage, Ruth
- Schuemie, Martijn
- Spasic, Dimitrije
- Trinh, Nhung T. H.
- Veljkovic, Nevena
- Vujovic, Ankica
- Wilde, Marcel de
- Zekarias, Alem
- Rijnbeek, Peter
- Ryan, Patrick
- Prieto-Alhambra, Daniel
- Norén, G. Niklas
- SpringerLink (Online service)
Ähnliche Objekte (12)
Reliability of routinely collected anthropometric measurements in primary care
Routinely collected data for randomized trials: promises, barriers, and implications
Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance
Neonatal mortality prediction with routinely collected data: a machine learning approach
Routinely collected patient data in neurology research: a systematic mapping review
Cardiovascular disease incidence rates: a study using routinely collected health data
Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning
Estimating progression-free survival in patients with glioblastoma using routinely collected data
Data saves lives: optimising routinely collected clinical data for rare disease research
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study
Real-world incidence and prevalence of low back pain using routinely collected data
Reliability of routinely collected anthropometric measurements in primary care
Routinely collected data for randomized trials: promises, barriers, and implications
Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance
Neonatal mortality prediction with routinely collected data: a machine learning approach
Routinely collected patient data in neurology research: a systematic mapping review
Cardiovascular disease incidence rates: a study using routinely collected health data
Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning
Estimating progression-free survival in patients with glioblastoma using routinely collected data
Data saves lives: optimising routinely collected clinical data for rare disease research
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study
Real-world incidence and prevalence of low back pain using routinely collected data
Reliability of routinely collected anthropometric measurements in primary care
Routinely collected data for randomized trials: promises, barriers, and implications
Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance
Neonatal mortality prediction with routinely collected data: a machine learning approach
Routinely collected patient data in neurology research: a systematic mapping review
Cardiovascular disease incidence rates: a study using routinely collected health data
Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning
Estimating progression-free survival in patients with glioblastoma using routinely collected data
Data saves lives: optimising routinely collected clinical data for rare disease research
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study