APA (7th ed.) Citation

Lim, J., Park, S. H., Cha, T., Yoon, S. J., Han, J. H., Shin, J. E., . . . Park, M. S. (2026). Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants. Diagnostics (2075-4418), 16(9), 1282. https://doi.org/10.3390/diagnostics16091282

Chicago Style (17th ed.) Citation

Lim, Joohee, et al. "Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants." Diagnostics (2075-4418) 16, no. 9 (2026): 1282. https://doi.org/10.3390/diagnostics16091282.

MLA (9th ed.) Citation

Lim, Joohee, et al. "Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants." Diagnostics (2075-4418), vol. 16, no. 9, 2026, p. 1282, https://doi.org/10.3390/diagnostics16091282.