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Obstetric and Neonatal Outcomes of Twin Pregnancy
This multicenter study aims at assessing the natural history of twin pregnancy and developing a machine learning-based algorithm to predict clinical outcomes of twin pregnancy during pregnancy and delivery and to determine management strategies that are associated with best maternal and neonatal outcomes. This study will include at least 12 centers from different countries that present at least Europe, South America, Asia, and Africa. Data will be retrospectively collected from January 1st, 2010 to December 31st, 2019.
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