Enhancing performance of the national field triage guidelines using machine learning: development of a prehospital triage model to predict severe trauma

HIGHLIGHTS

• What: At a fixed specificity of 0.5 the model showed a sensitivity of 0.799(0.797-0.801) an undertriage rate of 0.080(0.079-0.081) and an overtriage rate of 0.743(0.742-0.743) for predicting The best thresholds of the models were determined by maximizing the Youden index, and performance metrics, including sensitivity, specificity, accuracy, positive predictive value (PPV), and negative https://preprints.jmir.org/preprint/58740 Chen et al predictive value (NPV), were calculated. The study demonstrated that ML is a promising method for enhancing field triage guidelines . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.