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This paper is in the following e-collection/theme issue:

Perinatal Education for Parents (331) Clinical Information and Decision Making (3684) Obstetrics, Gynecology, and Reproductive Medicine (415) Tools, Programs and Algorithms (581) Big Data (433) Decision Support for Health Professionals (2222) Machine Learning (3158) Pregnancy Information, Education and Lifestyle Interventions (472) Artificial Intelligence (4744) New Diagnostic Tools and Instruments for Pediatrics (69)

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

Authors of this article:

Jing Gao1 Author Orcid Image ;   Xu Jie2 Author Orcid Image ;   Yujun Yao2 Author Orcid Image ;   Jingdong Xue3 Author Orcid Image ;   Lei Chen1 Author Orcid Image ;   Ruiyao Chen2 Author Orcid Image ;   Jiayuan Chen2 Author Orcid Image ;   Weiwei Cheng1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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