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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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 |
work_keys_str_mv |
AT jwgrzymałabusse infosciencetechnologytheimpactofinternetaccessiblemelanoiddataonhealthissues AT zshippe infosciencetechnologytheimpactofinternetaccessiblemelanoiddataonhealthissues AT mknap infosciencetechnologytheimpactofinternetaccessiblemelanoiddataonhealthissues AT wpaja infosciencetechnologytheimpactofinternetaccessiblemelanoiddataonhealthissues |
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