Development and validation of risk prediction models for adverse maternal and neonatal outcomes in severe preeclampsia in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe
Author:
Publisher
Elsevier BV
Subject
Obstetrics and Gynaecology,Internal Medicine
Reference42 articles.
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3. Predicting intensive care need in women with preeclampsia using machine learning – a pilot study;Hypertension in Pregnancy;2024-02-22
4. Prediction of Neonatal Outcomes Using Gestational Age or Diagnosis of Severe Preeclampsia vs. HELLP Syndrome: A Case-Only Analysis;2024-02-20
5. The prevalence of and risk factors for stillbirths in women with severe preeclampsia in a high-burden setting at Mpilo Central Hospital, Bulawayo, Zimbabwe;Journal of Perinatal Medicine;2022-05-27
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