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

Perinatal Education for Parents (284) Artificial Intelligence (2202) Clinical Information and Decision Making (1960) Machine Learning (2134) Pregnancy Information, Education and Lifestyle Interventions (411) Tools, Programs and Algorithms (388) Decision Support for Health Professionals (1570) Big Data (312) New Diagnostic Tools and Instruments for Pediatrics (50) Obstetrics, Gynecology, and Reproductive Medicine (335)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59377, first published .
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

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 (1) 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