Cita APA (7a ed.)
Ansbacher‐Feldman, Z., Syngelaki, A., Meiri, H., Cirkin, R., Nicolaides, K. H., Louzoun, Y., & Ansbacher-Feldman, Z. (2022). Machine-learning-based prediction of pre-eclampsia using first-trimester maternal characteristics and biomarkers. Ultrasound in Obstetrics & Gynecology, 60(6), 739-746.
Cita Chicago Style (17a ed.)
Ansbacher‐Feldman, Z., A. Syngelaki, H. Meiri, R. Cirkin, K. H. Nicolaides, Y. Louzoun, y Z. Ansbacher-Feldman. "Machine-learning-based Prediction of Pre-eclampsia Using First-trimester Maternal Characteristics and Biomarkers." Ultrasound in Obstetrics & Gynecology 60, no. 6 (2022): 739-746.
Cita MLA (9a ed.)
Ansbacher‐Feldman, Z., et al. "Machine-learning-based Prediction of Pre-eclampsia Using First-trimester Maternal Characteristics and Biomarkers." Ultrasound in Obstetrics & Gynecology, vol. 60, no. 6, 2022, pp. 739-746.
Precaución: Estas citas no son 100% exactas.