APA (7th ed.) Citation

Yalcin, E., Koc, T. K., Aslan, S., Demir, S. C., Evruke, I. C., Sucu, M., . . . Uzay, F. I. (2025). Artificial intelligence in prenatal diagnosis: Down syndrome risk assessment with the power of gradient boosting-based machine learning algorithms/Prenatal tanida yapay zeka: Gradient boosting tabanli makine ogrenmesi algortimalarinin gucu ile Down sendromu risk degerlendirmesi. Turkish journal of obstetrics and gynecology, 22(2), 121. https://doi.org/10.4274/tjod.galenos.2025.83278

Chicago Style (17th ed.) Citation

Yalcin, Emre, Tarik Kaan Koc, Serpil Aslan, Suleyman Cansun Demir, Ismail Cuneyt Evruke, Mete Sucu, Mesut Avan, and Fatma Islek Uzay. "Artificial Intelligence in Prenatal Diagnosis: Down Syndrome Risk Assessment with the Power of Gradient Boosting-based Machine Learning Algorithms/Prenatal Tanida Yapay Zeka: Gradient Boosting Tabanli Makine Ogrenmesi Algortimalarinin Gucu Ile Down Sendromu Risk Degerlendirmesi." Turkish Journal of Obstetrics and Gynecology 22, no. 2 (2025): 121. https://doi.org/10.4274/tjod.galenos.2025.83278.

MLA (9th ed.) Citation

Yalcin, Emre, et al. "Artificial Intelligence in Prenatal Diagnosis: Down Syndrome Risk Assessment with the Power of Gradient Boosting-based Machine Learning Algorithms/Prenatal Tanida Yapay Zeka: Gradient Boosting Tabanli Makine Ogrenmesi Algortimalarinin Gucu Ile Down Sendromu Risk Degerlendirmesi." Turkish Journal of Obstetrics and Gynecology, vol. 22, no. 2, 2025, p. 121, https://doi.org/10.4274/tjod.galenos.2025.83278.