Prediction of 30-day, 90-day, and 1-year mortality after colorectal cancer surgery using a data-driven approach.
Karoline Bendix BräunerAndi TsouchnikaMaliha MashkoorRoss WilliamsAndreas Weinberger RosenMorten Frederik Schlaikjær HartwigMustafa BulutNiclas DohrnPeter RijnbeekIsmail GögenurPublished in: International journal of colorectal disease (2024)
We were able to train prediction models for the risk of short-term mortality on a data set of four combined national health databases with good discrimination and calibration. We found that one cohort including all operated patients resulted in better performing models than cohorts based on several subgroups.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- minimally invasive
- big data
- prognostic factors
- peritoneal dialysis
- type diabetes
- electronic health record
- risk factors
- machine learning
- high speed
- acute coronary syndrome
- coronary artery disease
- percutaneous coronary intervention
- low cost