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...

全面介绍

书目详细资料
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
格式: 文件
语言:English
出版: BMC 2024-02-01
丛编:Journal of Orthopaedic Surgery and Research
主题:
Spinal deformity
Posterior spinal deformity surgery
Postoperative length of stay
Multimodal
Machine learning
在线阅读:https://doi.org/10.1186/s13018-024-04576-4

因特网

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

相似书籍