Infoscience technology: the impact of internet accessible melanoid data on health issues

In this paper the development of a new internet information system for analyzing and classifying melanocytic dat, is briefly described. This system also has some teaching functions, improves the analysis of datasets based on calculating the values of the TDS (Total Dermatoscopy Score) (Braun-Falco,...

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Main Authors: J W Grzymała-Busse, Z S Hippe, M Knap, W Paja
Format: Article
Language:English
Published: Ubiquity Press 2006-01-01
Series:Data Science Journal
Subjects:
TDS
Online Access:http://datascience.codata.org/articles/377
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spelling doaj-955d14c57d1a48bf82f610cea3b5bb522020-11-25T00:04:10ZengUbiquity PressData Science Journal1683-14702006-01-014778110.2481/dsj.4.77378Infoscience technology: the impact of internet accessible melanoid data on health issuesJ W Grzymała-Busse0Z S Hippe1M Knap2W Paja3Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence KS 66045, USADepartment of Expert Systems and Artificial Intelligence, University of Information Technology and Management,Sucharskiego 2, 35-225 Rzeszow, PolandDepartment of Expert Systems and Artificial Intelligence, University of Information Technology and Management,Sucharskiego 2, 35-225 Rzeszow, PolandDepartment of Expert Systems and Artificial Intelligence, University of Information Technology and Management,Sucharskiego 2, 35-225 Rzeszow, PolandIn this paper the development of a new internet information system for analyzing and classifying melanocytic dat, is briefly described. This system also has some teaching functions, improves the analysis of datasets based on calculating the values of the TDS (Total Dermatoscopy Score) (Braun-Falco, Stolz, Bilek, Merkle, & Landthaler, 1990; Hippe, Bajcar, Blajdo, Grzymala-Busse, Grzymala-Busse, & Knap, et al., 2003) parameter. Calculations are based on two methods: the classical ABCD formula (Braun-Falco et al., 1990) and the optimized ABCD formula (Alvarez, Bajcar, Brown, Grzymala-Busse, & Hippe, 2003). A third method of classification is devoted to quasi-optimal decision trees (Quinlan, 1993). The developed internet-based tool enables users to make an early, non-invasive diagnosis of melanocytic lesions. This is possible using a built-in set of instructions that animates the diagnosis of the four basic lesions types: benign nevus, blue nevus, suspicious nevus and melanoma malignant. This system is available on the Internet website: http://www.wsiz.rzeszow.pl/ksesi.http://datascience.codata.org/articles/377TeledermatologyTDSInternet-based toolMelanocytic lesionsInformation system
collection DOAJ
language English
format Article
sources DOAJ
author J W Grzymała-Busse
Z S Hippe
M Knap
W Paja
spellingShingle J W Grzymała-Busse
Z S Hippe
M Knap
W Paja
Infoscience technology: the impact of internet accessible melanoid data on health issues
Data Science Journal
Teledermatology
TDS
Internet-based tool
Melanocytic lesions
Information system
author_facet J W Grzymała-Busse
Z S Hippe
M Knap
W Paja
author_sort J W Grzymała-Busse
title Infoscience technology: the impact of internet accessible melanoid data on health issues
title_short Infoscience technology: the impact of internet accessible melanoid data on health issues
title_full Infoscience technology: the impact of internet accessible melanoid data on health issues
title_fullStr Infoscience technology: the impact of internet accessible melanoid data on health issues
title_full_unstemmed Infoscience technology: the impact of internet accessible melanoid data on health issues
title_sort infoscience technology: the impact of internet accessible melanoid data on health issues
publisher Ubiquity Press
series Data Science Journal
issn 1683-1470
publishDate 2006-01-01
description In this paper the development of a new internet information system for analyzing and classifying melanocytic dat, is briefly described. This system also has some teaching functions, improves the analysis of datasets based on calculating the values of the TDS (Total Dermatoscopy Score) (Braun-Falco, Stolz, Bilek, Merkle, & Landthaler, 1990; Hippe, Bajcar, Blajdo, Grzymala-Busse, Grzymala-Busse, & Knap, et al., 2003) parameter. Calculations are based on two methods: the classical ABCD formula (Braun-Falco et al., 1990) and the optimized ABCD formula (Alvarez, Bajcar, Brown, Grzymala-Busse, & Hippe, 2003). A third method of classification is devoted to quasi-optimal decision trees (Quinlan, 1993). The developed internet-based tool enables users to make an early, non-invasive diagnosis of melanocytic lesions. This is possible using a built-in set of instructions that animates the diagnosis of the four basic lesions types: benign nevus, blue nevus, suspicious nevus and melanoma malignant. This system is available on the Internet website: http://www.wsiz.rzeszow.pl/ksesi.
topic Teledermatology
TDS
Internet-based tool
Melanocytic lesions
Information system
url http://datascience.codata.org/articles/377
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