Machine Learning–Based Risk Assessment for Cancer Therapy–Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients

Machine Learning–Based Risk Assessment for Cancer Therapy–Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients

Background The growing awareness of cardiovascular toxicity from cancer therapies has led to the emerging field of cardio‐oncology, which centers on preventing, detecting, and treating patients with cardiac dysfunction before, during, or after cancer treatment. Early detection and prevention of canc...

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Bibliographic Details
Main Authors: Yadi Zhou, Yuan Hou, Muzna Hussain, Sherry‐Ann Brown, Thomas Budd, W. H. Wilson Tang, Jame Abraham, Bo Xu, Chirag Shah, Rohit Moudgil, Zoran Popovic, Leslie Cho, Mohamed Kanj, Chris Watson, Brian Griffin, Mina K. Chung, Samir Kapadia, Lars Svensson, Patrick Collier, Feixiong Cheng
Format: Article
Language:English
Published: Wiley 2020-12-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
anthracycline therapy
cancer therapy–related cardiac dysfunction
cardio‐oncology
cardiotoxicity
echocardiography
machine learning
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.120.019628

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https://www.ahajournals.org/doi/10.1161/JAHA.120.019628

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