Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data

Magdalena Mazur-Milecka, Natalia Kowalczyk, Kinga Jaguszewska, Dorota Zamkowska, Dariusz Wójcik, Krzysztof Preis, Henriette Skov, Stefan Rahr Wagner, Puk Sandager, Milena Sobotka, Jacek Ruminski. Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data. In Pawel Strumillo, Artur Klepaczko, Michal Strzelecki, Dorota Bociaga, editors, The Latest Developments and Challenges in Biomedical Engineering - Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE 2023, Lodz, Poland, September 27-29, 2023. Volume 746 of Lecture Notes in Networks and Systems, pages 267-281, Springer, 2023. [doi]

Abstract

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