Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study.

MLA

Liao, Lauren D., et al. “Development and Validation of Prediction Models for Gestational Diabetes Treatment Modality Using Supervised Machine Learning: A Population-Based Cohort Study.” BMC Medicine, vol. 20, no. 1, Sept. 2022, p. 307. EBSCOhost, https://doi.org/10.1186/s12916-022-02499-7.

APA

Liao, L. D., Ferrara, A., Greenberg, M. B., Ngo, A. L., Feng, J., Zhang, Z., Bradshaw, P. T., Hubbard, A. E., & Zhu, Y. (2022). Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study. BMC Medicine, 20(1), 307. https://doi.org/10.1186/s12916-022-02499-7

Chicago

Liao, Lauren D, Assiamira Ferrara, Mara B Greenberg, Amanda L Ngo, Juanran Feng, Zhenhua Zhang, Patrick T Bradshaw, Alan E Hubbard, and Yeyi Zhu. 2022. “Development and Validation of Prediction Models for Gestational Diabetes Treatment Modality Using Supervised Machine Learning: A Population-Based Cohort Study.” BMC Medicine 20 (1): 307. doi:10.1186/s12916-022-02499-7.