Ali Idri
ABSTRACT
Data mining or Data Analytics is a set of techniques that allows to analyzing data from different perspectives and summarizing it into useful information. It is the process of finding correlations or patterns in large historical datasets. It can be applied in almost any field ranging from business to education, then to medicine. Data mining has been increasingly used in medicine, especially in oncology. Breast cancer (BC) becomes the most common cancer among females worldwide and the leading cause of death in developed countries. Many studies have attempted to apply Data mining techniques to detect survivability of cancers in human beings. This paper aims to perform a systematic mapping study to analyze and synthesize studies on the application of Data mining techniques in breast cancer. 403 articles published between 2000 and 2016 were therefore selected and analyzed according to five criteria: year and channel of publication, research type, medical task, empirical type and DM techniques. Results show that conferences and journals are the most publication venues, researchers were more interested in applying DM techniques for diagnosis of BC, historical based evaluation was the empirical type of studies most used in the evaluation of DM techniques in BC, and classification was the most investigated task of DM in BC.
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Index Terms
- A systematic map of data analytics in breast cancer
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