Role of Data Mining Techniques in Human Disease Diagnosis
Journal: International Journal of Computer Techniques (Vol.3, No. 2)Publication Date: 2016-03-01
Authors : Sunny Sharma;
Page : 184-188
Keywords : Decision tree Induction; Rule Based Classification or mining; Support vector machine; Stochastic classification; Logistic regression; Naïve bayes; Artificial Neural Network & Fuzzy Logic; Genetic Algorithms;
Abstract
Medical informatics growth can be observed now days. Advancement in different medical fields discovers the various critical diseases and provides the guidelines for their cure. This has been possible only because of well heeled medical databases as well as automation of data analysis process. Towards this analysis process lots of learning and intelligence is required, the data mining techniques provides the basis for that and various data mining techniques are available like Decision tree Induction, Rule Based Classification or mining, Support vector machine, Stochastic classification, Logistic regression, Naïve bayes, Artificial Neural Network & Fuzzy Logic, Genetic Algorithms. This paper provides the basic of data mining with their effective techniques availability in medical sciences & reveals the efforts done on medical databases using data mining techniques for human disease diagnosis.
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