19th International CODATA Conference
Category: Data Visualisation

Infoscience Technology: An Impact of Internet Accessible Melanoid Data on Health Issues

Z.S. Hippe, J.W. Grzymała-Busse (also of Univ. Kansas, USA), M. Knap, W. Paja
Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Poland

In this paper a new internet information system for classification and diagnosing of melanoid data, is briefly described. The system allows the analysis of real medical data, basing on calculation of TDS (Total Dermatoscopy Score) para­meter [1,2] on two independent pathways. The first approach is based on calculation of classical ABCD formula [1], whereas the second one is relied on calculation of the optimized ABCD formula [3]. Additionally, the system has im­plemented specific method of data analysis, based on the application of quasi-optimal decision trees [4]. The developed internet-based tool displays also some teaching functions, and enables users to make early, non-invasive diagnosing of melanocytic lesions on the skin. It is possible, using built-in set of instructions, to animate diagnosis of four basic lesions types: benign nevus, blue nevus, suspicious nevus and melanoma malignant. The system is currently available on the Internet website: http://www.wsiz.rzeszow.pl/ksesi.