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pubmed:abstractText |
The purpose of this study was to make an improvement in the performance of a logistic regression model in predicting the presence of brain neoplasia with magnetic resonance spectroscopy data by using a new approach for logistic regression coefficient estimation. This new approach, termed cost minimizing (C-min), introduced by one of the authors (Chetty), uses the cost function for prediction outcomes to estimate model coefficients and the prediction decision rule. To do this requires use of a genetic algorithm.
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