2024
DOI: 10.1007/s00384-024-04607-w
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Prediction of 30-day, 90-day, and 1-year mortality after colorectal cancer surgery using a data-driven approach

Karoline Bendix Bräuner,
Andi Tsouchnika,
Maliha Mashkoor
et al.

Abstract: Purpose To develop prediction models for short-term mortality risk assessment following colorectal cancer surgery. Methods Data was harmonized from four Danish observational health databases into the Observational Medical Outcomes Partnership Common Data Model. With a data-driven approach using the Least Absolute Shrinkage and Selection Operator logistic regression on preoperative data, we developed 30-day, 90-day, and 1-year mortality prediction m… Show more

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