Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts

MLA

Li, Y., et al. “Validation of Risk Prediction Models Applied to Longitudinal Electronic Health Record Data for the Prediction of Major Cardiovascular Events in the Presence of Data Shifts.” European Heart Journal - Digital Health, vol. 3, Oct. 2022, pp. 535–47. EBSCOhost, https://doi.org/10.1093/ehjdh/ztac061.

APA

Li, Y., Salimi-Khorshidi, G., Rao, S., Canoy, D., Hassaine, A., Lukasiewicz, T., Rahimi, K., & Mamouei, M. (2022). Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts. European Heart Journal - Digital Health, 3, 535–547. https://doi.org/10.1093/ehjdh/ztac061

Chicago

Li, Y, G Salimi-Khorshidi, S Rao, D Canoy, A Hassaine, T Lukasiewicz, K Rahimi, and M Mamouei. 2022. “Validation of Risk Prediction Models Applied to Longitudinal Electronic Health Record Data for the Prediction of Major Cardiovascular Events in the Presence of Data Shifts.” European Heart Journal - Digital Health 3 (October): 535–47. doi:10.1093/ehjdh/ztac061.