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Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59377, first published .
Pregnant woman in floral dress in hospital waiting room

Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model

Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model

Journals

  1. Kirkgöz H, Can Nacar M, Kurt O. Feature Selection-Based Machine Learning Framework for Birth Weight Prediction: Toward Intelligent Clinical Decision Systems. IEEE Access 2025;13:215866 View
  2. Ma L, Yang Z, Meng X, Zhao P, Ma J. F-KAN: an enhanced Kolmogorov–Arnold network with multi-basis fusion for fetal weight estimation. Measurement Science and Technology 2026;37(30):305702 View
  3. Abdeta S, Diop O, Cygu S, Drame A, Momanyi R, Endalamaw Dejene B, Tadele M, Sintayehu Y, Barasa M, Woldie M, Girma T, Tsegaye R, Kiragga A, Adnew B, Howe R, Dheresa M, Abdisa A. Predicting abnormal birth weight and identifying associated factors using machine learning in the Hararghe Health and Demographic Surveillance System, Ethiopia. BMC Public Health 2026;26(1) View