THE USE OF MACHINE LEARNING TO PREDICT DOXORUBICIN CARDIOTOXICITY

Henry Cheng,Qiang Zheng, Xiaofeng Zhu,Amanda M. Smith,Yiwen Qian,Rupal O’Quinn,Frank E. Silvestry,Yuchi Han,Marielle Scherrer-Crosbie,Victor A. Ferrari,Kevin Duffy,Dinesh Jagasia,Christos Davatzikos,Yong Fan,Bonnie Ky

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY（2018）

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摘要

Doxorubicin-induced cardiotoxicity (CTX) occurs in 10 to 15% of patients. As such, there is an important need to improve our understanding of the relevance of cardiac mechanics in predicting CTX. The overall objective of our study was to use machine learning algorithms to identify new patterns in

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