A system for identifying radionuclide emissions is described. The system includes at least one processor for processing output signals from a radionuclide detecting device, at least one training algorithm run by the at least one processor for analyzing data derived from at least one set of known sample data from the output signals, at least one classification algorithm derived from the training algorithm for classifying unknown sample data, wherein the at least one training algorithm analyzes the at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by the detecting device.

 
Web www.patentalert.com

< Processing health insurance data utilizing data quality rules

< Method for identification of cis-regulatory modules via computational analysis of single polynucleotide polymorphisms (SNPs) and insertions/deletions (indels)

> System and method for optimization of a database for the training and testing of prediction algorithms

> Multi-layer development network having in-place learning
~ 00602