Ensemble learning-assisted prediction of prolonged hospital length of stay after spine correction surgery: a multi-center cohort study

Ensemble learning-assisted prediction of prolonged hospital length of stay after spine correction surgery: a multi-center cohort study

Abstract Purpose This research aimed to develop a machine learning model to predict the potential risk of prolonged length of stay in hospital before operation, which can be used to strengthen patient management. Methods Patients who underwent posterior spinal deformity surgery (PSDS) from eleven me...

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Bibliographic Details
Main Authors: Wenle Li, Yusi Zhang, Xin Zhou, Xubin Quan, Binghao Chen, Xuewen Hou, Qizhong Xu, Weiheng He, Liang Chen, Xiaozhu Liu, Yang Zhang, Tianyu Xiang, Runmin Li, Qiang Liu, Shi-Nan Wu, Kai Wang, Wencai Liu, Jialiang Zheng, Haopeng Luan, Xiaolin Yu, Anfa Chen, Chan Xu, Tongqing Luo, Zhaohui Hu
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Spinal deformity
Posterior spinal deformity surgery
Postoperative length of stay
Multimodal
Machine learning
Online Access:https://doi.org/10.1186/s13018-024-04576-4

Internet

https://doi.org/10.1186/s13018-024-04576-4

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