Predicting intensive care need in women with preeclampsia using machine learning–a pilot study
Background: Predicting severe preeclampsia with need for intensive care is challenging. To better predict high-risk pregnancies to prevent adverse outcomes such as eclampsia is still an unmet need worldwide. In this study we aimed to develop a prediction model for severe outcomes using routine biomarkers and clinical characteristics. Methods: We used machine learning models based on data from an i
