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Machine Learning and Statistical Models to Predict Postpartum Hemorrhage
OBJECTIVE: To predict a woman’s risk of postpartum hemorrhage at labor admission using machine learning and statistical models. METHODS: Predictive models were constructed and compared using data from 10 of 12 sites in the U.S. Consortium for Safe Labor Study (2002–2008) that consistently reported e...
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| 發表在: | Obstet Gynecol |
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| Main Authors: | , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7236480/ https://ncbi.nlm.nih.gov/pubmed/32168227 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/AOG.0000000000003759 |
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