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...

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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
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