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Dataset Information

Prediction of Length of Stay After Colorectal Surgery Using Intraoperative Risk Factors.


ABSTRACT:

Objective

The primary objective of this study was to develop a length of stay (LOS) prediction model.

Background

Predicting the LOS is crucial for patient care, planning, managing expectations, and optimizing hospital resources. Prolonged LOS after colorectal surgery is largely influenced by complications, and an accurate prediction model could significantly benefit patient outcomes and healthcare efficiency.

Methods

This study included patients who underwent colorectal surgery in 14 different hospitals between January 2016 and December 2020. Two distinct random forest models were developed: one solely based on preoperative variables (preoperative prediction model [PP model]) and the other incorporating both preoperative and intraoperative variables (intraoperative pr

SUBMITTER: Huisman DE 

PROVIDER: S-EPMC11415119 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature