Classification tree methods for development of decision rules for botulism and cyanide poisoning

摘要

IntroductionIdentification of predictors of potential mass poisonings may increase the speed and accuracy with which patients are recognized, potentially reducing the number ultimately exposed and the degree to which they are affected. This analysis used a decision-tree method to sort such potential predictors.