Bereczki, K.; Bukva, M.; Vedelek, V.; Nádasdi, B.; Kozinszky, Z.; Sinka, R.; Bereczki, C.; Vágvölgyi, A.; Zádori, J.
Machine Learning-Based Prediction of IVF Outcomes: The Central Role of Female Preprocedural Factors. Biomedicines 2025, 13, 2768.
https://doi.org/10.3390/biomedicines13112768
AMA Style
Bereczki K, Bukva M, Vedelek V, Nádasdi B, Kozinszky Z, Sinka R, Bereczki C, Vágvölgyi A, Zádori J.
Machine Learning-Based Prediction of IVF Outcomes: The Central Role of Female Preprocedural Factors. Biomedicines. 2025; 13(11):2768.
https://doi.org/10.3390/biomedicines13112768
Chicago/Turabian Style
Bereczki, Kristóf, Mátyás Bukva, Viktor Vedelek, Bernadett Nádasdi, Zoltán Kozinszky, Rita Sinka, Csaba Bereczki, Anna Vágvölgyi, and János Zádori.
2025. "Machine Learning-Based Prediction of IVF Outcomes: The Central Role of Female Preprocedural Factors" Biomedicines 13, no. 11: 2768.
https://doi.org/10.3390/biomedicines13112768
APA Style
Bereczki, K., Bukva, M., Vedelek, V., Nádasdi, B., Kozinszky, Z., Sinka, R., Bereczki, C., Vágvölgyi, A., & Zádori, J.
(2025). Machine Learning-Based Prediction of IVF Outcomes: The Central Role of Female Preprocedural Factors. Biomedicines, 13(11), 2768.
https://doi.org/10.3390/biomedicines13112768
