Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review

Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review

Abstract Objective To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight. Study design and methods We conducted a systematic review, searching the PubMed databases between 01/01/2...

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Bibliographic Details
Main Authors: Jing Gao, Yujun Yao, Jingdong Xue, Ruiyao Chen, XingYu Yang, Jie Xu, Weiwei Cheng
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Pregnancy and Childbirth
Subjects:
Machine learning
Prediction model
Methodological quality
Risk of bias
Fetal weight
Systematic review
Online Access:https://doi.org/10.1186/s12884-025-07727-5
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