Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients

Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients

Abstract Objective The objective of this study was to develop and validate a clinically applicable nomogram for predicting the risk of delirium following hepatectomy. Methods We applied the LASSO regression model to identify the independent risk factors associated with POD. Subsequently, we utilized...

Full description

Saved in:
Bibliographic Details
Main Authors: Yu Zhu, Renrui Liang, Ying Wang, Jian-Jun Yang, Ning Zhou, Cheng-Mao Zhou
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Surgery
Subjects:
Nomogram
POD
Hepatectomy
LASSO
Predicting
Online Access:https://doi.org/10.1186/s12893-025-02759-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12893-025-02759-2

Similar Items