Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review.

MLA

Yang, Qiuyu, et al. “Reporting and Risk of Bias of Prediction Models Based on Machine Learning Methods in Preterm Birth: A Systematic Review.” Acta Obstetricia et Gynecologica Scandinavica, vol. 102, no. 1, Jan. 2023, pp. 7–14. EBSCOhost, https://doi.org/10.1111/aogs.14475.

APA

Yang, Q., Fan, X., Cao, X., Hao, W., Lu, J., Wei, J., Tian, J., Yin, M., & Ge, L. (2023). Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review. Acta Obstetricia et Gynecologica Scandinavica, 102(1), 7–14. https://doi.org/10.1111/aogs.14475

Chicago

Yang, Qiuyu, Xia Fan, Xiao Cao, Weijie Hao, Jiale Lu, Jia Wei, Jinhui Tian, Min Yin, and Long Ge. 2023. “Reporting and Risk of Bias of Prediction Models Based on Machine Learning Methods in Preterm Birth: A Systematic Review.” Acta Obstetricia et Gynecologica Scandinavica 102 (1): 7–14. doi:10.1111/aogs.14475.