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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Publishing Group
2021
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| Materias: | |
| 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 |