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Journal article

Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: opportunities, challenges, and considerations

Abstract:

Increasing availability of electronic health databases capturing real-world experiences with medical products has garnered much interest in their use for pharmacoepidemiologic and pharmacovigilance studies. The traditional practice of having numerous groups use single databases to accomplish similar tasks and address common questions about medical products can be made more efficient through well-coordinated multi-database studies, greatly facilitated through distributed data network (DDN) arc...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s40264-022-01158-3

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0000-0002-3950-6346
Publisher:
Springer
Journal:
Drug Safety More from this journal
Volume:
45
Pages:
493–510
Publication date:
2022-05-17
Acceptance date:
2022-02-13
DOI:
EISSN:
1179-1942
ISSN:
0114-5916
Language:
English
Keywords:
Pubs id:
1239884
Local pid:
pubs:1239884
Deposit date:
2022-02-16

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