APA (7th ed.) Citation

J, T., JR, V., RJ, M., JA, H., G, E., R, A., . . . S, E. (2024). Performance of machine-learning approach for prediction of pre-eclampsia in a middle-income country. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 63(3), 350. https://doi.org/10.1002/uog.27510

Chicago Style (17th ed.) Citation

J, Torres-Torres, et al. "Performance of Machine-learning Approach for Prediction Of pre-eclampsia in a Middle-income Country." Ultrasound in Obstetrics & Gynecology : The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 63, no. 3 (2024): 350. https://doi.org/10.1002/uog.27510.

MLA (9th ed.) Citation

J, Torres-Torres, et al. "Performance of Machine-learning Approach for Prediction Of pre-eclampsia in a Middle-income Country." Ultrasound in Obstetrics & Gynecology : The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, vol. 63, no. 3, 2024, p. 350, https://doi.org/10.1002/uog.27510.