Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers

@article{Klement2012PredictingTN,
  title={Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers},
  author={William Klement and Szymon Wilk and Wojtek Michalowski and Ken Farion and Martin H. Osmond and Vedat Verter},
  journal={Artificial intelligence in medicine},
  year={2012},
  volume={54 3},
  pages={163-70}
}
OBJECTIVE Using an automatic data-driven approach, this paper develops a prediction model that achieves more balanced performance (in terms of sensitivity and specificity) than the Canadian Assessment of Tomography for Childhood Head Injury (CATCH) rule, when predicting the need for computed tomography (CT) imaging of children after a minor head injury… CONTINUE READING