Preterm Labor Prediction

Preterm Labor Prediction is a computational or analytical framework designed to identify the likelihood of imminent preterm delivery before 37 weeks of gestation by analyzing clinical, biological, or physiological indicators specific to pregnant individuals.

554

Publications

26.3K

Citations

2.3K

Authors

729

Institutions

Publications per year

2017–2026

105

Authors

2.3K

  1. RR
    Roberto Romero

    Wayne State University, United States

    20 publications · 2.5K citations

    19

    h-index

  2. JD
    Jay D. Iams

    The Ohio State University, United States

    17 publications · 2.1K citations

    17

    h-index

  3. PJ
    Paul J. Meis

    Wake Forest University, United States

    10 publications · 1.8K citations

    10

    h-index

  4. SN
    Steve N. Caritis

    University of Pittsburgh, United States

    10 publications · 1.5K citations

    10

    h-index

  5. RG
    Ricardo Gómez

    Wayne State University, United States

    9 publications · 1.4K citations

    9

    h-index

1–5 of 2.3K

Venues

  1. American Journal of Obstetrics and Gynecology

    AJOG · 113 publications · 8.8K citations

    51

    h-index

  2. Obstetrics and Gynecology

    38 publications · 2.7K citations

    29

    h-index

  3. PubMed

    Repository · 37 publications · 1.4K citations

    22

    h-index

  4. The Journal of Maternal-Fetal & Neonatal Medicine

    32 publications · 1.3K citations

    18

    h-index

  5. Ultrasound in Obstetrics and Gynecology

    20 publications · 1K citations

    17

    h-index

1–5