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Postpartum hemorrhage (PPH) remains a leading cause of preventable maternal mortality in the United States. We sought to develop a novel risk assessment tool and compare its accuracy to tools used in current practice.
Pubmed ID: 34405866
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Software tool as gradient boosting framework that uses tree based learning algorithms. Designed to be distributed and efficient with advantages:Faster training speed and higher efficiency;Lower memory usage;Better accuracy;Support of parallel, distributed, and GPU learning;Capable of handling large scale data.
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