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The Logical Observation Identifier Names and Codes (LOINC) database provides a universal code system for reporting laboratory and other clinical observations. Its purpose is to identify observations in electronic messages such as Health Level Seven (HL7) observation messages, so that when hospitals, health maintenance organizations, pharmaceutical(More)
The probabilistic neural network (PNN) paradigm has been applied successfully to the hull-to-emitter correlation (HULTEC) problem. The PNN is a multilayer feedforward network that uses sums of Gaussian distributions to estimate the probability density function for a training data set. This trained network can then be used to classify new data sets on the(More)
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