Abstract 14410: A Machine Learning Approach to Predicting Risk of Anthracycline Cardiotoxicity in Pediatric Cancer Survivors

MLA

Jane Lougheed, et al. “Abstract 14410: A Machine Learning Approach to Predicting Risk of Anthracycline Cardiotoxicity in Pediatric Cancer Survivors.” Circulation, vol. 142, Nov. 2020. EBSCOhost, https://doi.org/10.1161/circ.142.suppl_3.14410.

APA

Jane Lougheed, Paul F. Kantor, Marie A. Chaix, Rejane Dillenburg, Myriam Lafreniere-Roula, Cedric Manlhiot, Leonard S. Sender, Stacey Marjerrison, Guoliang Meng, Roderick Yao, Ashok Kumar Manickaraj, Anne Christie, Seema Mital, Paul C. Nathan, Shayna Zelcer, Luc Mertens, Mylene Bassal, Neha Parmar, David R. W. Hodgson, … Anastasia Miron. (2020). Abstract 14410: A Machine Learning Approach to Predicting Risk of Anthracycline Cardiotoxicity in Pediatric Cancer Survivors. Circulation, 142. https://doi.org/10.1161/circ.142.suppl_3.14410

Chicago

Jane Lougheed, Paul F. Kantor, Marie A. Chaix, Rejane Dillenburg, Myriam Lafreniere-Roula, Cedric Manlhiot, Leonard S. Sender, et al. 2020. “Abstract 14410: A Machine Learning Approach to Predicting Risk of Anthracycline Cardiotoxicity in Pediatric Cancer Survivors.” Circulation 142 (November). doi:10.1161/circ.142.suppl_3.14410.