Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records.

MLA

Bolt, Hikaru, 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, Aug. 2023, pp. 1–9. EBSCOhost, https://doi.org/10.1186/s12882-023-03269-0.

APA

Bolt, H., Suffel, A., Matthewman, J., Sandmann, F., Tomlinson, L., & Eggo, R. (2023). Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records. BMC Nephrology, 24(1), 1–9. https://doi.org/10.1186/s12882-023-03269-0

Chicago

Bolt, Hikaru, Anne Suffel, Julian Matthewman, Frank Sandmann, Laurie Tomlinson, and Rosalind Eggo. 2023. “Seasonality of Acute Kidney Injury Phenotypes in England: An Unsupervised Machine Learning Classification Study of Electronic Health Records.” BMC Nephrology 24 (1): 1–9. doi:10.1186/s12882-023-03269-0.