Prospective Evaluation of a Bayesian Network for Detecting Asthma Exacerbations in a Pediatric Emergency Department

@article{Sanders2006ProspectiveEO,
  title={Prospective Evaluation of a Bayesian Network for Detecting Asthma Exacerbations in a Pediatric Emergency Department},
  author={David L. Sanders and Dominik Aronsky},
  journal={AMIA ... Annual Symposium proceedings. AMIA Symposium},
  year={2006},
  pages={1085}
}
Early detection of asthma exacerbations may allow for automated guideline enrollment. We developed and prospectively evaluated a real-time Bayesian network to predict the presence of acute asthma after patient triage using only routinely available electronic data. 2,006 patients were enrolled, including 153 guideline-eligible patients. The area under the ROC curve was 0.971 (95% CI: 0.955 to 0.981) for identifying asthma patients. The system can be applied to identify guideline eligible… CONTINUE READING
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