A functional outcome prediction model of acute traumatic spinal cord injury based on extreme gradient boost

A functional outcome prediction model of acute traumatic spinal cord injury based on extreme gradient boost

Abstract Objective We aimed to construct a nonlinear regression model through Extreme Gradient Boost (XGBoost) to predict functional outcome 1 year after surgical decompression for patients with acute spinal cord injury (SCI) and explored the importance of predictors in predicting the functional out...

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Bibliographic Details
Main Authors: Zhan Sizheng, Huang Boxuan, Xue Feng, Zhang Dianying
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Acute spinal cord injury
Prediction model
Extreme gradient boost
Spinal cord independence measure
Online Access:https://doi.org/10.1186/s13018-022-03343-7

Internet

https://doi.org/10.1186/s13018-022-03343-7

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