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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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
John Wiley and Sons Ltd
2022
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/232240 |
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| Institution: | National University of Singapore |