Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach

Background Treatment with immune checkpoint inhibitors (ICIs) has been associated with an increased rate of cardiac events. There are limited data on the risk factors that predict cardiac events in patients treated with ICIs. Therefore, we created a machine learning (ML) model to predict cardiac eve...

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Bibliographic Details
Main Authors: Tomas G Neilan, Judith Mueller, Samuel Peter Heilbroner, Reed Few, Jitesh Chalwa, Francois Charest, Somasekhar Suryadevara, Christine Kratt, Andres Gomez-Caminero, Brian Dreyfus
Format: Article
Language:English
Published: BMJ Publishing Group 2021-10-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/9/10/e002545.full
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