APA (7th ed.) Citation

Tian, T., Kong, F., Yang, R., Long, X., Chen, L., Li, M., . . . Qiao, J. (2023). A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data. Reproductive Biology and Endocrinology, 21(1), 1. https://doi.org/10.1186/s12958-023-01065-x

Chicago Style (17th ed.) Citation

Tian, Tian, et al. "A Bayesian Network Model for Prediction of Low or Failed Fertilization in Assisted Reproductive Technology Based on a Large Clinical Real-world Data." Reproductive Biology and Endocrinology 21, no. 1 (2023): 1. https://doi.org/10.1186/s12958-023-01065-x.

MLA (9th ed.) Citation

Tian, Tian, et al. "A Bayesian Network Model for Prediction of Low or Failed Fertilization in Assisted Reproductive Technology Based on a Large Clinical Real-world Data." Reproductive Biology and Endocrinology, vol. 21, no. 1, 2023, p. 1, https://doi.org/10.1186/s12958-023-01065-x.