Journal
Pediatric Research
Publication Date
8-1-2025
Volume
98
Issue
2
First Page
405
Last Page
411
Document Type
Open Access Publication
DOI
10.1038/s41390-024-03773-5
Rights and Permissions
Sullivan, B.A., Moreira, A.G., McAdams, R.M. et al. Comparing machine learning techniques for neonatal mortality prediction: insights from a modeling competition. Pediatr Res 98, 405–411 (2025). https://doi.org/10.1038/s41390-024-03773-5 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Recommended Citation
Sullivan, Brynne A; Moreira, Alvaro G; McAdams, Ryan M; Knake, Lindsey A; Husain, Ameena; Qiu, Jiaxing; Mudireddy, Avinash; Majeedi, Abrar; Shalish, Wissam; Lake, Douglas E; and Vesoulis, Zachary A, "Comparing machine learning techniques for neonatal mortality prediction: Insights from a modeling competition." Pediatric Research. 98, 2. 405 - 411. (2025).
https://digitalcommons.wustl.edu/oa_4/6176
Department
ICTS (Institute of Clinical and Translational Sciences)
