Combined Risk Algorithms

Combined Risk Algorithms is a computational framework in prenatal risk assessment that integrates multiple biomarkers, maternal characteristics, and statistical models to generate a unified risk score for fetal abnormalities, distinguished by its synthesis of diverse data sources into a single predictive metric.

22

Publications

1.1K

Citations

127

Authors

78

Institutions

Publications per year

2017–2026

9

Authors

127

  1. KH
    K. H. Nicolaides

    Harris Birthright Research Centre for Fetal Medicine, United Kingdom

    3 publications · 336 citations

    3

    h-index

  2. KS
    Kevin Spencer

    Harold Wood Hospital, United Kingdom

    3 publications · 248 citations

    3

    h-index

  3. YJ
    Yadava Jeve

    Birmingham Women's Hospital, United Kingdom

    1 publications · 23 citations

    1

    h-index

  4. SM
    Stephen Munday

    University of Warwick, United Kingdom

    1 publications · 10 citations

    1

    h-index

  5. EZ
    Ella Zomer

    Monash University, Australia

    1 publications · 19 citations

    1

    h-index

1–5 of 127

Venues

  1. Prenatal Diagnosis

    4 publications · 370 citations

    4

    h-index

  2. European Journal of Preventive Cardiology

    EJPC · 2 publications · 44 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 45 citations

    1

    h-index

  4. Artificial Intelligence in Medicine

    AIM · 1 publications · 12 citations

    1

    h-index

  5. Pregnancy Hypertension

    1 publications · 28 citations

    1

    h-index

1–5