Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution
Author:
Funder
Korea Health Industry Development Institute
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-67784-2.pdf
Reference30 articles.
1. Grobman, W. A. et al. Frequency of and factors associated with severe maternal morbidity. Obstet. Gynecol. 123, 804–810 (2014).
2. Haeri, S. & Dildy, G. A. 3rd. Maternal mortality from hemorrhage. Semin. Perinatol. 36, 48–55 (2012).
3. Lal, A. K. & Hibbard, J. U. Placenta previa: an outcome-based cohort study in a contemporary obstetric population. Arch. Gynecol. Obstet. 292, 299–305 (2015).
4. Mhyre, J. M. et al. Massive blood transfusion during hospitalization for delivery in New York State, 1998–2007. Obstet. Gynecol. 122, 1288–1294 (2013).
5. Van den Berg, K. et al. A cross-sectional study of peripartum blood transfusion in the Eastern Cape, South Africa. South Afr. Med. J. = Suid-Afrikaanse tydskrif vir geneeskunde 106, 1103–1109 (2016).
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