A review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia
Louise Pedersen,
Magdalena Mazur-Milecka,
Jacek Ruminski
et al.
Abstract:Previous reviews have investigated machine learning (ML) models used to predict the risk of developing preeclampsia but have not described how the ML models are intended to be deployed throughout pregnancy or feature performance. The aim of this study is to provide an overview of the existing ML models and their intended deployment patterns and performance along with identified features of high importance. This review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. … Show more
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