This is an interim version of our Electronic Legal Deposit Catalogue-eJournals and eBooks while we continue to recover from a cyber-attack.
Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm. (2023)
Record Type:
Journal Article
Title:
Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm. (2023)
Main Title:
Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm
Highlights: Clinically actionable model to predict complications in spinal deformity surgeries. Key factors of predicting complications in postoperatively well-aligned patients. The location of the lower-instrumented vertebra is the most important feature.