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

Author

Gorunescu, Florin ; Gorunescu, Marina ; El-Darzi, Elia ; Ene, Marius ; Gorunescu, Smaranda

Author_Institution

Dept. of Math., Biostat. & Comput. Sci., Univ. of Medicine & Pharmacy of Craiova

Volume

1

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

237

Lastpage

240

Abstract

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

Keywords

cancer; medical diagnostic computing; neural nets; statistical analysis; hepatic cancer diagnosis; hepatic disease diagnosis; patient database; predictive algorithm; probabilistic neural network; Artificial neural networks; Biological neural networks; Cancer; Computer science; Electronic mail; Genetic algorithms; Intelligent networks; Mathematics; Neural networks; Probability density function; Monte Carlo search; genetic algorithms; incremental search; probabilistic neural network; t-test;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer as a Tool, 2005. EUROCON 2005.The International Conference on

Conference_Location

Belgrade

Print_ISBN

1-4244-0049-X

Type

conf

DOI

10.1109/EURCON.2005.1629904

Filename

1629904