Prognostic value of pericoronary inflammation and unsupervised machine-learning-defined phenotypic clustering of CT angiographic findings.

MLA

Hoshino, Masahiro, et al. “Prognostic Value of Pericoronary Inflammation and Unsupervised Machine-Learning-Defined Phenotypic Clustering of CT Angiographic Findings.” International Journal of Cardiology, vol. 333, June 2021, pp. 226–32. EBSCOhost, https://doi.org/10.1016/j.ijcard.2021.03.019.

APA

Hoshino, M., Zhang, J., Sugiyama, T., Yang, S., Kanaji, Y., Hamaya, R., Yamaguchi, M., Hada, M., Misawa, T., Usui, E., Murai, T., Yonetsu, T., Lee, J. M., Koo, B.-K., Sasano, T., & Kakuta, T. (2021). Prognostic value of pericoronary inflammation and unsupervised machine-learning-defined phenotypic clustering of CT angiographic findings. International Journal of Cardiology, 333, 226–232. https://doi.org/10.1016/j.ijcard.2021.03.019

Chicago

Hoshino, Masahiro, Jinlong Zhang, Tomoyo Sugiyama, Seokhun Yang, Yoshihisa Kanaji, Rikuta Hamaya, Masao Yamaguchi, et al. 2021. “Prognostic Value of Pericoronary Inflammation and Unsupervised Machine-Learning-Defined Phenotypic Clustering of CT Angiographic Findings.” International Journal of Cardiology 333 (June): 226–32. doi:10.1016/j.ijcard.2021.03.019.