كتاب إلكتروني
Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
| العنوان: | Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data |
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| المؤلفون: | Mazur-Milecka, MagdalenaAff13, Kowalczyk, NataliaAff13, Jaguszewska, KingaAff14, Aff15, Zamkowska, DorotaAff14, Wójcik, DariuszAff14, Preis, KrzysztofAff14, Skov, HenrietteAff16, Wagner, StefanAff17, Sandager, PukAff16, Sobotka, MilenaAff13, Rumiński, JacekAff13 |
| المساهمون: | Kacprzyk, Janusz, Series EditorAff1, Gomide, Fernando, Advisory EditorAff2, Kaynak, Okyay, Advisory EditorAff3, Liu, Derong, Advisory EditorAff4, Pedrycz, Witold, Advisory EditorAff5, Polycarpou, Marios M., Advisory EditorAff6, Rudas, Imre J., Advisory EditorAff7, Wang, Jun, Advisory EditorAff8, Strumiłło, Paweł, editorAff9, Klepaczko, Artur, editorAff10, Strzelecki, Michał, editorAff11, Bociąga, Dorota, editorAff12 |
| المصدر: | The Latest Developments and Challenges in Biomedical Engineering : Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023. 746:267-281 |
| قاعدة البيانات: | Springer Nature eBooks |
| ردمك: | 9783031384295 9783031384301 |
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| DOI: | 10.1007/978-3-031-38430-1_21 |