A Risk Scoring System Utilizing Machine Learning Methods for Hepatotoxicity Prediction One Year After the Initiation of Tyrosine Kinase Inhibitors.

MLA

Han, Ji Min, et al. “A Risk Scoring System Utilizing Machine Learning Methods for Hepatotoxicity Prediction One Year After the Initiation of Tyrosine Kinase Inhibitors.” Frontiers in Oncology, vol. 12, Mar. 2022, p. 790343. EBSCOhost, https://doi.org/10.3389/fonc.2022.790343.

APA

Han, J. M., Yee, J., Cho, S., Kim, M. K., Moon, J. Y., Jung, D., Kim, J. S., & Gwak, H. S. (2022). A Risk Scoring System Utilizing Machine Learning Methods for Hepatotoxicity Prediction One Year After the Initiation of Tyrosine Kinase Inhibitors. Frontiers in Oncology, 12, 790343. https://doi.org/10.3389/fonc.2022.790343

Chicago

Han, Ji Min, Jeong Yee, Soyeon Cho, Min Kyoung Kim, Jin Young Moon, Dasom Jung, Jung Sun Kim, and Hye Sun Gwak. 2022. “A Risk Scoring System Utilizing Machine Learning Methods for Hepatotoxicity Prediction One Year After the Initiation of Tyrosine Kinase Inhibitors.” Frontiers in Oncology 12 (March): 790343. doi:10.3389/fonc.2022.790343.