Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning-Reference-Cited by-同舟云学术

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Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning

Published:2019-03-31 Issue:1 Volume:86 Page:122-127
ISSN:0031-3998
Container-title:Pediatric Research
language:en
Short-container-title:Pediatr Res

Author:

Daunhawer Imant,Kasser Severin,Koch Gilbert,Sieber Lea,Cakal Hatice,Tütsch Janina,Pfister Marc,Wellmann Sven,Vogt Julia E.

Publisher

Springer Science and Business Media LLC

Subject

Pediatrics, Perinatology and Child Health

Link

http://www.nature.com/articles/s41390-019-0384-x.pdf

Reference28 articles.

1. Bhutani, V. K., Johnson, L. & Sivieri, E. M. Predictive ability of a predischarge hour-specific serum bilirubin for subsequent significant hyperbilirubinemia in healthy term and near-term newborns. Pediatrics 103, 6–14 (1999).

2. Stevenson, D. K. et al. Prediction of hyperbilirubinemia in near-term and term infants. Pediatrics 108, 31–39 (2001).

3. Olusanya, B. O., Kaplan, M. & Hansen, T. W. R. Neonatal hyperbilirubinaemia: a global perspective. Lancet Child Adolesc. Health 2, 610–620 (2018).

4. Burgos, A. E., Schmitt, S. K., Stevenson, D. K. & Phibbs, C. S. Readmission for neonatal jaundice in California, 1991–2000: trends and implications. Pediatrics 121, e864–e869 (2008).

5. Olusanya, B. O., Emokpae, A. A., Zamora, T. G. & Slusher, T. M. Addressing the burden of neonatal hyperbilirubinaemia in countries with significant glucose-6-phosphate dehydrogenase deficiency. Acta Paediatrica 103, 1102–1109 (2014).

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