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Human and machine learning of prognostic prediction for prelabor rupture of membranes and the time of delivery: a nationwide development, validation, and deployment using medical history

2021-06-22 obstetrics and gynecology Title + abstract only
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ImportancePrognostic predictions of prelabor rupture of membranes lack proper sample sizes and external validation. ObjectiveTo develop, validate, and deploy statistical and/or machine learning prediction models using medical histories for prelabor rupture of membranes and the time of delivery. DesignA retrospective cohort design within 2-year period (2015 to 2016) of a single-payer, government-owned health insurance database covering 75.8% individuals in a country SettingNationwide healthcar...

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