APA (7th ed.) Citation

H, B., A, S., J, M., F, S., L, T., & R, E. (2023). Seasonality of acute kidney injury phenotypes in England: An unsupervised machine learning classification study of electronic health records. BMC nephrology, 24(1), 234. https://doi.org/10.1186/s12882-023-03269-0

Chicago Style (17th ed.) Citation

H, Bolt, Suffel A, Matthewman J, Sandmann F, Tomlinson L, and Eggo R. "Seasonality of Acute Kidney Injury Phenotypes in England: An Unsupervised Machine Learning Classification Study of Electronic Health Records." BMC Nephrology 24, no. 1 (2023): 234. https://doi.org/10.1186/s12882-023-03269-0.

MLA (9th ed.) Citation

H, Bolt, et al. "Seasonality of Acute Kidney Injury Phenotypes in England: An Unsupervised Machine Learning Classification Study of Electronic Health Records." BMC Nephrology, vol. 24, no. 1, 2023, p. 234, https://doi.org/10.1186/s12882-023-03269-0.