Safety Data Mining
Safety Data Mining is a systematic analytical process within postmarketing surveillance that employs statistical and computational techniques to identify previously unknown adverse drug reaction signals from large-scale, real-world healthcare databases.
204
Publications
10.7K
Citations
823
Authors
389
Institutions
Publications per year
2017–2026
78
Parents
204
1–5 of 204
823
8
h-index
8
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8
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h-index
1–5 of 823
389
United States Food and Drug Administration
Silver Spring, United States
11 h-index
34 publications
1.3K citations
Pfizer (United States)
New York, United States
10 h-index
18 publications
536 citations
Uppsala Monitoring Centre
Uppsala, Sweden
7 h-index
24 publications
2.9K citations
New York University
New York, United States
7 h-index
8 publications
189 citations
Center for Drug Evaluation and Research
Silver Spring, United States
7 h-index
21 publications
917 citations
Harvard University
Cambridge, United States
7 h-index
45 publications
2K citations
Stanford University
Stanford, United States
6 h-index
17 publications
1K citations

New York Medical College
Valhalla, United States
6 h-index
7 publications
137 citations
1–8 of 389
10 publications · 495 citations
10
h-index
9 publications · 535 citations
9
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Repository · 7 publications · 262 citations
7
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6 publications · 203 citations
6
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6 publications · 1.1K citations
6
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1–5