Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline

Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline

A growing body of evidence on a wide spectrum of adverse cardiac events following oncologic therapies has led to the emergence of cardio-oncology as an increasingly relevant interdisciplinary specialty. This also calls for better risk-stratification for patients undergoing cancer treatment. Machine...

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Bibliographic Details
Main Authors: Yi Zheng, Ziliang Chen, Shan Huang, Nan Zhang, Yueying Wang, Shenda Hong, Jeffrey Shi Kai Chan, Kang-Yin Chen, Yunlong Xia, Yuhui Zhang, Gregory Y.H. Lip, Juan Qin, Gary Tse, Tong Liu
Format: Article
Language:English
Published: IMR Press 2023-10-01
Series:Reviews in Cardiovascular Medicine
Subjects:
cardio-oncology
machine learning
cardiotoxicity
inequity
multidisciplinary team
Online Access:https://www.imrpress.com/journal/RCM/24/10/10.31083/j.rcm2410296

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https://www.imrpress.com/journal/RCM/24/10/10.31083/j.rcm2410296

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