Polypharmacy Risk Detection

Polypharmacy Risk Detection is a computational method that identifies the likelihood of adverse health outcomes arising from the concurrent use of multiple medications by analyzing drug-drug interactions, patient-specific factors, and cumulative pharmacological effects within a clinical or pharmacovigilance context.

58

Publications

5.4K

Citations

298

Authors

160

Institutions

Publications per year

2017–2026

29

Authors

298

  1. ÉB
    Émilie Bortolussi‐Courval

    McGill University Health Centre, Canada

    2 publications · 49 citations

    2

    h-index

  2. TC
    Todd C. Lee

    McGill University Health Centre, Canada

    2 publications · 49 citations

    2

    h-index

  3. EG
    Emily G. McDonald

    McGill University Health Centre, Canada

    2 publications · 49 citations

    2

    h-index

  4. SN
    Sarah N. Hilmer

    The University of Sydney, Australia

    2 publications · 1.2K citations

    2

    h-index

  5. JT
    Jacques Turgeon

    Université de Montréal, Canada

    2 publications · 209 citations

    2

    h-index

1–5 of 298

Venues

  1. BMC Geriatrics

    3 publications · 78 citations

    3

    h-index

  2. 3

    h-index

  3. Annals of Emergency Medicine

    3 publications · 505 citations

    3

    h-index

  4. Journal of Clinical Pharmacy and Therapeutics

    2 publications · 157 citations

    2

    h-index

  5. Drugs & Aging

    2 publications · 247 citations

    2

    h-index

1–5