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Dynamic Risk Prediction of 30-Day Mortality in Patients With Advanced Lung Cancer: Comparing Five Machine Learning Approaches.

Charles VestereghemWeronika Maria SzejniukRasmus Froberg BrøndumUrsula G FalkmerChloé-Agathe AzencottMartin Bøgsted
Published in: JCO clinical cancer informatics (2022)
This study demonstrates the potential of a decision support tool to limit late SACT administration in patients with cancer. Further work is warranted to refine the model, build an easy-to-use prototype, and conduct a prospective validation study.
Keyphrases
  • machine learning
  • cardiovascular events
  • type diabetes
  • risk factors
  • cardiovascular disease
  • risk assessment
  • coronary artery disease