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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 LOINC (Logical Observation Identifier Names and Codes) vocabulary is a set of more than 10,000 names and codes developed for use as observation identifiers in standardized messages exchanged between clinical computer systems. The goal of the study was to create universal names and codes for clinical observations that could be used by all clinical(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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