APA (7th ed.) Citation

Huang, C., Murugiah, K., Mahajan, S., Li, S., Dhruva, S. S., Haimovich, J. S., . . . Krumholz, H. M. (2018). Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLoS medicine, 15(11), e1002703. https://doi.org/10.1371/journal.pmed.1002703

Chicago Style (17th ed.) Citation

Huang, Chenxi, et al. "Enhancing the Prediction of Acute Kidney Injury Risk After Percutaneous Coronary Intervention Using Machine Learning Techniques: A Retrospective Cohort Study." PLoS Medicine 15, no. 11 (2018): e1002703. https://doi.org/10.1371/journal.pmed.1002703.

MLA (9th ed.) Citation

Huang, Chenxi, et al. "Enhancing the Prediction of Acute Kidney Injury Risk After Percutaneous Coronary Intervention Using Machine Learning Techniques: A Retrospective Cohort Study." PLoS Medicine, vol. 15, no. 11, 2018, p. e1002703, https://doi.org/10.1371/journal.pmed.1002703.