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Machine Learning Identifies Clinical and Genetic...
Journal article

Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer Survivors

Abstract

BACKGROUND: Despite known clinical risk factors, predicting anthracycline cardiotoxicity remains challenging. OBJECTIVES: This study sought to develop a clinical and genetic risk prediction model for anthracycline cardiotoxicity in childhood cancer survivors.

Authors

Chaix M-A; Parmar N; Kinnear C; Lafreniere-Roula M; Akinrinade O; Yao R; Miron A; Lam E; Meng G; Christie A

Journal

JACC CardioOncology, Vol. 2, No. 5, pp. 690–706

Publisher

Elsevier

Publication Date

December 2020

DOI

10.1016/j.jaccao.2020.11.004

ISSN

2666-0873