Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor

Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor

10.1002/pd.5903

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Bibliographic Details
Main Authors: Saw, Shier Nee, Biswas, Arijit, Mattar, Citra Nurfarah Zaini, Lee, Hwee Kuan, Yap, Choon Hwai
Other Authors: BIOMEDICAL ENGINEERING
Format: Article
Published: John Wiley and Sons Ltd 2022
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232240
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Institution: National University of Singapore
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Summary:10.1002/pd.5903

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