Construct and Validate a Predictive Model for Surgical Site Infection after Posterior Lumbar Interbody Fusion Based on Machine Learning Algorithm

<div>Area under the curve of receiver-operating characteristic curve by machine learning models in the validation cohort. (a) Machine learning; (b) SMOTE + machine learning. AUC: area under the receiver-operating characteristic curve; SMOTE: synthetic minority oversampling technique; ada: Boosted Classification Trees; LogitBoost: Boosted Logistic Regression; xgbLinear: Extreme Gradient Boosting; gbm: Stochastic Gradient Boosting; glm: Generalized Linear Model; adaboost: AdaBoost Classification Trees; rf: random forest.</div>

Computational and Mathematical Methods in Medicine

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Figure 3: Construct and Validate a Predictive Model for Surgical Site Infection after Posterior Lumbar Interbody Fusion Based on Machine Learning Algorithm 

Figure 3 | Construct and Validate a Predictive Model for Surgical Site Infection after Posterior Lumbar Interbody Fusion Based on Machine Learning Algorithm 