Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths

@article{Wilstrup2022CombiningSR,
  title={Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths},
  author={Casper Wilstrup and Chris Cave},
  journal={BMC Medical Informatics and Decision Making},
  year={2022},
  volume={22}
}
  • C. Wilstrup, C. Cave
  • Published 15 January 2021
  • Medicine
  • BMC Medical Informatics and Decision Making
Background Heart failure is a clinical syndrome characterised by a reduced ability of the heart to pump blood. Patients with heart failure have a high mortality rate, and physicians need reliable prognostic predictions to make informed decisions about the appropriate application of devices, transplantation, medications, and palliative care. In this study, we demonstrate that combining symbolic regression with the Cox proportional hazards model improves the ability to predict death due to heart… 

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