Using multiple indicators to predict the risk of surgical site infection after ORIF of tibia fractures: a machine learning based study

Abstract

In this study, we constructed a multivariate prediction model for SSI after ORIF of tibial fracture through ML, and the strength of this study was the use of multiple indicators to establish an infection prediction model, which can better reflect the real situation of patients, and the model show great clinical prediction performance.