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Fig. 2 | Antimicrobial Resistance & Infection Control

Fig. 2

From: Development of machine learning models for the detection of surgical site infections following total hip and knee arthroplasty: a multicenter cohort study

Fig. 2

Performance of XGBoost models for the detection of surgical site infections. A The area under the receiver operating characteristic curves (ROC AUC, left) and the area under precision–recall curves (PR AUC, right) for the administrative data based XGBoost models. B The area under the receiver operating characteristic curves (ROC AUC, left) and the area under precision–recall curves (PR AUC, right) for the EMR text data based XGBoost models. C The area under the receiver operating characteristic curves (ROC AUC, left) and the area under precision–recall curves (PR AUC, right) for the mix using of administrative and text data based XGBoost models

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Antimicrobial Resistance & Infection Control

ISSN: 2047-2994

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