Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance.

MLA

Luong, Christina L., et al. “Validation of Machine Learning Models for Estimation of Left Ventricular Ejection Fraction on Point-of-Care Ultrasound: Insights on Features That Impact Performance.” Echo Research and Practice, vol. 11, no. 1, Mar. 2024, p. 9. EBSCOhost, https://doi.org/10.1186/s44156-024-00043-2.

APA

Luong, C. L., Jafari, M. H., Behnami, D., Shah, Y. R., Straatman, L., Van Woudenberg, N., Christoff, L., Gwadry, N., Hawkins, N. M., Sayre, E. C., Yeung, D., Tsang, M., Gin, K., Jue, J., Nair, P., Abolmaesumi, P., & Tsang, T. (2024). Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance. Echo Research and Practice, 11(1), 9. https://doi.org/10.1186/s44156-024-00043-2

Chicago

Luong, Christina L, Mohammad H Jafari, Delaram Behnami, Yaksh R Shah, Lynn Straatman, Nathan Van Woudenberg, Leah Christoff, et al. 2024. “Validation of Machine Learning Models for Estimation of Left Ventricular Ejection Fraction on Point-of-Care Ultrasound: Insights on Features That Impact Performance.” Echo Research and Practice 11 (1): 9. doi:10.1186/s44156-024-00043-2.