Statistical Comparison of a Probabilistic Neural Network Approach in Hepatic Cancer Diagnosis

摘要

Probabilistic neural network (PNN) may provide an alternative to establish predictive algorithms for the cancer early diagnosis. We trained a PNN, using three different techniques for searching the smoothing parameter, with a database of 299 patients. This paper deals with the comparison of the prediction capabilities of different PNN approaches used to assist the diagnosis process for hepatic diseases.