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Comparison of logistic regression and neural network models in predicting the outcome of biopsy in breast cancer from MRI findings
J. Radiat. Res
We designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the Artificial Neural Network (ANN). Materials and methods: The ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. Each patient's record consisted of 6 subjective features extracted from MRI appearance. These findings were encoded as features for an ANN as well as afatcat:hqiqdcubrbf7faaz547342wylm