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
- DOI
- 10.1016/j.preghy.2020.10.011
- Published
- 2021-03
- Container
- Pregnancy Hypertension
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.preghy.2020.10.011,
title = {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 = {Solwayo Ngwenya and Brian Jones and Desmond Mwembe and Hausitoe Nare and Alexander E.P. Heazell},
year = {2021},
journal = {Pregnancy Hypertension},
doi = {10.1016/j.preghy.2020.10.011},
url = {https://doi.org/10.1016/j.preghy.2020.10.011}
}RIS
TY - JOUR TI - 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 AU - Solwayo Ngwenya AU - Brian Jones AU - Desmond Mwembe AU - Hausitoe Nare AU - Alexander E.P. Heazell PY - 2021 JO - Pregnancy Hypertension DO - 10.1016/j.preghy.2020.10.011 UR - https://doi.org/10.1016/j.preghy.2020.10.011 ER -
APA
Ngwenya, S., Jones, B., Mwembe, D., Nare, H., & Heazell, A. E. (2021). 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. Pregnancy Hypertension. https://doi.org/10.1016/j.preghy.2020.10.011
Source records
- crossref · retrieved 2026-09-26T02:22:44.560Z