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 ev...

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Detalles Bibliográficos
Autores principales: Heilbroner, Samuel Peter, Few, Reed, Neilan, Tomas G, Mueller, Judith, Chalwa, Jitesh, Charest, Francois, Suryadevara, Somasekhar, Kratt, Christine, Gomez-Caminero, Andres, Dreyfus, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Clinical/Translational Cancer Immunotherapy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491414/
https://www.ncbi.nlm.nih.gov/pubmed/34607896
http://dx.doi.org/10.1136/jitc-2021-002545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491414/
https://www.ncbi.nlm.nih.gov/pubmed/34607896
http://dx.doi.org/10.1136/jitc-2021-002545

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