Ontology highlight
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