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Computerized data‐driven interpretation of the intrapartum cardiotocogram: a cohort study

Continuous intrapartum fetal monitoring remains a significant clinical challenge. We propose using cohorts of routinely collected data. We aim to combine non‐classical (data‐driven) and classical cardiotocography features with clinical features into a system (OxSys), which generates automated alarms for the fetus at risk of intrapartum hypoxia. We hypothesize that OxSys can outperform clinical diagnosis of “fetal distress”, when optimized and tested over large retrospective data sets.