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
- minimally invasive
- newly diagnosed
- chronic kidney disease
- big data
- prognostic factors
- coronary artery bypass
- electronic health record
- patient reported outcomes
- machine learning
- coronary artery disease
- acute coronary syndrome
- high resolution
- deep learning
- surgical site infection
- data analysis