Predicting Postoperative Length of Stay in Patients Undergoing Laparoscopic Right Hemicolectomy for Colon Cancer: A Machine Learning Approach Using SICE (Società Italiana di Chirurgia Endoscopica) CoDIG Data.

Simple Summary: This study aimed to predict the Length of hospital Stay (LoS) after laparoscopic right hemicolectomy for colon cancer using machine learning techniques. Accurately forecasting LoS is crucial for improving patient care and hospital resource management. The researchers utilized data fr...

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Bibliographic Details

Published in:	Cancers Vol. 16; no. 16; pp. 2857 - 2872
Main Authors:	Anania, Gabriele, Chiozza, Matteo, Pedarzani, Emma, Resta, Giuseppe, Campagnaro, Alberto, Pedon, Sabrina, Valpiani, Giorgia, Silecchia, Gianfranco, Mascagni, Pietro, Cuccurullo, Diego, Reddavid, Rossella, Azzolina, Danila
Format:	research tables/charts Journal Article
Published:	MDPI Aug2024
Online Access:	View this record in EBSCOhost