Perinatal Data Analytics

Perinatal Data Analytics is a computational and statistical methodology within maternal health informatics that involves the systematic collection, integration, and analysis of longitudinal health data from the prenatal through postnatal periods to support clinical decision-making, predict adverse outcomes, and improve perinatal care quality.

8

Publications

323

Citations

47

Authors

26

Institutions

Publications per year

2017–2026

2

Authors

47

  1. MW
    Mário W. L. Moreira

    Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Brazil

    1 publications · 37 citations

    1

    h-index

  2. MA
    Mary Ann Iannacchione

    Goodwin College, United States

    1 publications · 15 citations

    1

    h-index

  3. RH
    Reese H. Clark

    Clinical Research Institute, United States

    1 publications · 142 citations

    1

    h-index

  4. KS
    K Schlitz

    Duke University, United States

    1 publications · 15 citations

    1

    h-index

  5. RH
    Robert H. Logie

    University of Edinburgh, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 47

Venues

  1. American Journal of Obstetrics and Gynecology

    AJOG · 1 publications · 19 citations

    1

    h-index

  2. PubMed

    Repository · 1 publications · 15 citations

    1

    h-index

  3. Journal of Computational Science

    1 publications · 37 citations

    1

    h-index

  4. Environmental Research

    1 publications · 12 citations

    1

    h-index

  5. Maternal and Child Health Journal

    1 publications · 29 citations

    1

    h-index

1–5