Drug Selection Algorithms

Drug Selection Algorithms is a systematic method that determines optimal inotropic agents for individual patients based on clinical parameters, hemodynamic profiles, and evidence-based criteria, distinguishing it from general treatment guidelines by enabling personalized, data-driven therapeutic decisions in the management of cardiac dysfunction.

74

Publications

3K

Citations

456

Authors

259

Institutions

Publications per year

2017–2026

30

Authors

456

  1. LG
    LaVonne Goodman

    Huntington University, United States

    2 publications · 147 citations

    2

    h-index

  2. DC
    David Craufurd

    University of Manchester, United Kingdom

    2 publications · 147 citations

    2

    h-index

  3. ME
    Mary Edmondson

    University of Manchester, United Kingdom

    2 publications · 147 citations

    2

    h-index

  4. SP
    Sunil P. Khatri

    Texas A&M University, United States

    2 publications · 41 citations

    2

    h-index

  5. MG
    Mark Groves

    Mount Sinai Beth Israel, United States

    2 publications · 147 citations

    2

    h-index

1–5 of 456

Venues

  1. PubMed

    Repository · 8 publications · 355 citations

    8

    h-index

  2. European Journal of Hospital Pharmacy

    EJHP · 2 publications · 30 citations

    2

    h-index

  3. Pharmacoepidemiology and Drug Safety

    2 publications · 66 citations

    2

    h-index

  4. 2

    h-index

  5. PLoS Currents

    2 publications · 147 citations

    2

    h-index

1–5