Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning

Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning

Abstract Background Infectious complications after colorectal cancer (CRC) surgery increase perioperative mortality and are significantly associated with poor prognosis. We aimed to develop a model for predicting infectious complications after colorectal cancer surgery in elderly patients based on i...

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Bibliographic Details
Main Authors: Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li, Lei He
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Elderly patients
Colorectal cancer
Postoperative infectious complications
Machine learning
MGA-XGBoost
Online Access:https://doi.org/10.1186/s12911-023-02411-0

Internet

https://doi.org/10.1186/s12911-023-02411-0

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