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

Abstract

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 (

Symbolic learning supporting early diagnosis of melanoma

“…Such support can also be applied to the training process of dermatologists (or any medical professionals). At last, computational intelligence affects development of self-consultancy systems, telemedicine, and new methods for melanoma population screening tests (under development) [23]. In Fig.…”

Medical diagnosis support and accuracy improvement by application of total scoring from feature selection approach

“…For that reason the ABCD (asymmetry, border, color and diversity of structure) clinical rule is commonly used by dermatologists in visual examination and detection of early melanoma. It is also used in development of diagnosis platforms such as DERMA [4] or IMDLS systems [5]. Previous research [5][6][7][8] focused on using of data mining and image mining techniques to provide early support to diagnosis of melanocytic lesions.…”

“…It is also used in development of diagnosis platforms such as DERMA [4] or IMDLS systems [5]. Previous research [5][6][7][8] focused on using of data mining and image mining techniques to provide early support to diagnosis of melanocytic lesions. Now, it is proposed to apply feature selection methods to find interesting features inside investigated melanocytic datasets.…”