A heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model
Marina Gorunescu, Florin Gorunescu, Marius Ene, Elia El‐Darzi · WestminsterResearch (University of Westminster) · 2005
This paper is focusing on the application of a probabilistic neural network-based model in diagnosing hepatic diseases. In the diagnose process, the physicians compare numerical medical data against prior knowledge in order to determine the right diagnostic. Neural networks are ideal in recognizing diseases using representative examples since there is no need to provide a specific algorithm on how to identify the disease. The goal of this paper is to explore a PNN-based approach to determine the (near) optimum diagnosis for hepatic cancer. As concerns the concrete program, a Java implementation is provided as well.