@article{ref1,
title="Progress toward a new injury severity characterization: severity profiles",
journal="Computers in biology and medicine",
year="1988",
author="Sacco, W. J. and Jameson, J. W. and Copes, W. S. and Lawnick, M. M. and Keast, S. L. and Champion, Howard R.",
volume="18",
number="6",
pages="419-429",
abstract="Presented is a new seven-dimensional injury severity profile. The profile includes three physiologic assessments and four variables which express the number, location, and severity of a patient's injuries in terms of 'Abbreviated injury scale' values. The physiologic assessments are coded values for the 'Glasgow coma scale', systolic blood pressure, and respiratory rate. Also presented are survival-death predictive values of a cluster model based on survival rates of clusters of profiles of 2569 blunt-injured and penetrating-injured patients. The cluster model has a relative information gain (R) of 0.90. R is a measure of predictive value relative to an infallible predictor. It varies from 0 to 1, the higher the value the better the predictive value. The model had 26 false negatives (deaths predicted to survive) and 35 false positives (survivors predicted to die) giving rise to a false negative rate of 9.3%, a false positive rate of 1.4% and a misclassification rate of 2.4%. The R value and false negative rate are particularly noteworthy, the R value being higher than, and the false negative rate much lower than typical values of 30-40% achieved by TRISS (a combination index based on trauma score, injury severity score and patient age). Also noteworthy is that the clustering was independent of survival/death outcome information and that the good results were achieved even though patient age has not yet been incorporated into the model.<p /><p>Language: en</p>",
language="en",
issn="0010-4825",
doi="",
url="http://dx.doi.org/"
}