Ensemble machine learning framework for predicting maternal health risk during pregnancy
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-71934-x.pdf
Reference73 articles.
1. World Health Organization. A woman dies every two minutes due to pregnancy or childbirth: UN agencies.
2. Bertini, A., Salas, R., Chabert, S., Sobrevia, L. & Pardo, F. Using machine learning to predict complications in pregnancy: A systematic review. Front. Bioeng. Biotechnol. 9, 1385 (2022).
3. Giouleka, S. et al. Obesity in pregnancy: A comprehensive review of influential guidelines. Obstet. Gynecol. Surv. 78(1), 50–68 (2023).
4. Poniedziałek-Czajkowska, E., Mierzyński, R. & Leszczyńska-Gorzelak, B. Preeclampsia and obesity—The preventive role of exercise. Int. J. Environ. Res. Public Health 20(2), 1267 (2023).
5. Bogren, M., Denovan, A., Kent, F., Berg, M. & Linden, K. Impact of the helping mothers survive bleeding after birth learning programme on care provider skills and maternal health outcomes in low-income countries—An integrative review. Women Birth 34(5), 425–434 (2021).
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