Kernel Smoothing For ROC Curve And Estimation For Thyroid Stimulating Hormone

@inproceedings{Mehdi2012KernelSF,
  title={Kernel Smoothing For ROC Curve And Estimation For Thyroid Stimulating Hormone},
  author={Tazhibi Mehdi},
  year={2012}
}
  • Tazhibi Mehdi
  • Published 2012
Receiver Operating Characteristic (ROC) Curves are frequently used in biomedical informatics research to evaluate classification and prediction models to support decision, diagnosis, and prognosis. ROC analysis investigates the accuracy of models and has ability to separate positive from negative cases. It is especially useful in evaluating predictive models and compare to other tests which produce output values in a continuous range. Empirical ROC curve is jagged but a true ROC curve is smooth… CONTINUE READING
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