ClinicalTrials.gov
public full text
Public Domain
Risk Prediction Models for Adverse Maternal and Neonatal Outcomes in Preeclampsia
This proposal describes a single centre retrospective cross-sectional study which will address the need to further develop and test statistical risk prediction models for adverse maternal and neonatal outcomes in low-resource settings; this will be the first such research to be carried out in Zimbabwe.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Maternal lead exposure and preeclampsia risk in sub-Saharan Africa: a comparative risk assessment#29764
- The human resource implications of improving financial risk protection for mothers and newborns in Zimbabwe#1005247
- First-trimester preeclampsia prediction model via integrative machine learning of maternal risk profiles and laboratory markers.#480853
- Accuracy of Risk Prediction Scores in Pregnant Women#856362
- Cardiac Biomarkers in Preeclampsia: Prediction of Disease and the Risk of Future Cardiovascular Events in Survivors#901169
Record · ID 1008735
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive