Cita APA (7a ed.)
Khodabandelu, S., Basirat, Z., Khaleghi, S., Khafri, S., Montazery Kordy, H., & Golsorkhtabaramiri, M. (2022). Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them. BMC Medical Informatics & Decision Making, 22(1), 1-14.
Cita Chicago Style (17a ed.)
Khodabandelu, Sajad, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy, y Masoumeh Golsorkhtabaramiri. "Developing Machine Learning-based Models to Predict Intrauterine Insemination (IUI) Success by Address Modeling Challenges in Imbalanced Data and Providing Modification Solutions for Them." BMC Medical Informatics & Decision Making 22, no. 1 (2022): 1-14.
Cita MLA (9a ed.)
Khodabandelu, Sajad, et al. "Developing Machine Learning-based Models to Predict Intrauterine Insemination (IUI) Success by Address Modeling Challenges in Imbalanced Data and Providing Modification Solutions for Them." BMC Medical Informatics & Decision Making, vol. 22, no. 1, 2022, pp. 1-14.
Precaución: Estas citas no son 100% exactas.