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A survey on utilization of data mining approaches for dermatological (skin) diseases prediction

Barati, E, Saraee, M, Mohammadi, A, Adibi, N and Ahmadzadeh, M.R. 2011, 'A survey on utilization of data mining approaches for dermatological (skin) diseases prediction' , Journal of Selected Areas in Health Informatics (JSHI), 2 (3) , pp. 1-11.

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    Abstract

    Due to recent technology advances, large volumes of medical data is obtained. These data contain valuable information. Therefore data mining techniques can be used to extract useful patterns. This paper is intended to introduce data mining and its various techniques and a survey of the available literature on medical data mining. We emphasize mainly on the application of data mining on skin diseases. A categorization has been provided based on the different data mining techniques. The utility of the various data mining methodologies is highlighted. Generally association mining is suitable for extracting rules. It has been used especially in cancer diagnosis. Classification is a robust method in medical mining. In this paper, we have summarized the different uses of classification in dermatology. It is one of the most important methods for diagnosis of erythemato-squamous diseases. There are different methods like Neural Networks, Genetic Algorithms and fuzzy classifiaction in this topic. Clustering is a useful method in medical images mining. The purpose of clustering techniques is to find a structure for the given data by finding similarities between data according to data characteristics. Clustering has some applications in dermatology. Besides introducing different mining methods, we have investigated some challenges which exist in mining skin data.

    Item Type: Article
    Themes: Health and Wellbeing
    Schools: Colleges and Schools
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Journal or Publication Title: Journal of Selected Areas in Health Informatics (JSHI)
    Publisher: Cyber Journals
    Refereed: Yes
    Related URLs:
    Depositing User: Dr Mo Saraee
    Date Deposited: 21 Oct 2011 11:57
    Last Modified: 20 Sep 2013 15:23
    URI: http://usir.salford.ac.uk/id/eprint/18594

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