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

Authors

823

  1. MH
    Manfred Hauben

    Pfizer (United States), United States

    8 publications · 185 citations

    8

    h-index

  2. AB
    Andrew Bate

    Uppsala Monitoring Centre, Sweden

    8 publications · 606 citations

    8

    h-index

  3. RH
    Rave Harpaz

    Stanford University, United States

    8 publications · 656 citations

    8

    h-index

  4. WD
    William DuMouchel

    Oracle (United States), United States

    7 publications · 1.3K citations

    7

    h-index

  5. HC
    Herbert Chase

    Columbia University, United States

    5 publications · 538 citations

    5

    h-index

1–5 of 823

Venues

  1. Pharmacoepidemiology and Drug Safety

    10 publications · 495 citations

    10

    h-index

  2. Drug Safety

    9 publications · 535 citations

    9

    h-index

  3. PubMed

    Repository · 7 publications · 262 citations

    7

    h-index

  4. Frontiers in Pharmacology

    6 publications · 203 citations

    6

    h-index

  5. The American Statistician

    6 publications · 1.1K citations

    6

    h-index

1–5