Hemodynamic Algorithm Development

Hemodynamic Algorithm Development is a methodological framework that systematically integrates physiological parameters and clinical outcomes to optimize cardiac output through the design and validation of predictive or prescriptive computational algorithms.

106

Publications

4K

Citations

727

Authors

335

Institutions

Publications per year

2017–2026

44

Authors

727

  1. JE
    Justin E. Davies

    Imperial College London, United Kingdom

    3 publications · 88 citations

    3

    h-index

  2. DP
    Dárrel P. Francis

    Imperial College London, United Kingdom

    3 publications · 116 citations

    3

    h-index

  3. ZI
    Zachary I. Whinnett

    Imperial College London, United Kingdom

    3 publications · 116 citations

    3

    h-index

  4. KW
    Keith Willson

    Imperial College London, United Kingdom

    3 publications · 116 citations

    3

    h-index

  5. YQ
    Yi Qian

    Macquarie University, Australia

    3 publications · 137 citations

    3

    h-index

1–5 of 727

Venues

  1. PubMed

    Repository · 4 publications · 73 citations

    4

    h-index

  2. Computers in Biology and Medicine

    4 publications · 276 citations

    4

    h-index

  3. British Journal of Anaesthesia

    3 publications · 85 citations

    3

    h-index

  4. Journal of Biomechanics

    3 publications · 359 citations

    3

    h-index

  5. JACC: Cardiovascular Interventions

    3 publications · 105 citations

    3

    h-index

1–5