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Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants.

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Title: Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants.
Authors: Lim, Joohee1 (AUTHOR), Park, Sook Hyun2 (AUTHOR), Cha, Teahyen1 (AUTHOR), Yoon, So Jin1,2 (AUTHOR), Han, Jung Ho1 (AUTHOR), Shin, Jeong Eun1 (AUTHOR), Song, In Gyu1 (AUTHOR), Lee, Soon Min1 (AUTHOR) smlee@yuhs.ac, Eun, Ho Seon1 (AUTHOR), Park, Min Soo1 (AUTHOR)
Source: Diagnostics (2075-4418). May2026, Vol. 16 Issue 9, p1282. 10p.
Database: Academic Search Ultimate
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  Data: Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants.
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. May2026, Vol. 16 Issue 9, p1282. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193717300
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        Value: 10.3390/diagnostics16091282
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              Text: May2026
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