Danciu, B.M.; Șișială, M.-E.; Dumitru, A.-I.; Simionescu, A.A.; Sebacher, B.
Prediction of Neonatal Length of Stay in High-Risk Pregnancies Using Regression-Based Machine Learning on Computerized Cardiotocography Data. Diagnostics 2025, 15, 2964.
https://doi.org/10.3390/diagnostics15232964
AMA Style
Danciu BM, Șișială M-E, Dumitru A-I, Simionescu AA, Sebacher B.
Prediction of Neonatal Length of Stay in High-Risk Pregnancies Using Regression-Based Machine Learning on Computerized Cardiotocography Data. Diagnostics. 2025; 15(23):2964.
https://doi.org/10.3390/diagnostics15232964
Chicago/Turabian Style
Danciu, Bianca Mihaela, Maria-Elisabeta Șișială, Andreea-Ioana Dumitru, Anca Angela Simionescu, and Bogdan Sebacher.
2025. "Prediction of Neonatal Length of Stay in High-Risk Pregnancies Using Regression-Based Machine Learning on Computerized Cardiotocography Data" Diagnostics 15, no. 23: 2964.
https://doi.org/10.3390/diagnostics15232964
APA Style
Danciu, B. M., Șișială, M.-E., Dumitru, A.-I., Simionescu, A. A., & Sebacher, B.
(2025). Prediction of Neonatal Length of Stay in High-Risk Pregnancies Using Regression-Based Machine Learning on Computerized Cardiotocography Data. Diagnostics, 15(23), 2964.
https://doi.org/10.3390/diagnostics15232964