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AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis
J Med Internet Res 2025;27:e67922
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Public Attitudes Toward Violence Against Doctors: Sentiment Analysis of Chinese Users
JMIR Med Inform 2025;13:e63772
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Currently, there are only a few of published models using ML to estimate fetal birth weight before delivery, such as Wang et al [13]. used a Random Forest Algorithm to predict macrosomia and Gao et al [14] proposed a fetal weight prediction model based on genetic algorithm to improve back propagation (GA-BP) neural network. However, their simple size was too small and the feature parameters were insufficient; consequently, the performance of published models was unreliable and differentially robust.
JMIR Pediatr Parent 2025;8:e59377
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