Data Mining for diagnosis in Healthcare Sector-A Review

Abstract

Data mining is a powerful tool suitable for uncovering new trends in healthcare organization. Data mining plays a major role in predicting and diagnosing various ailments in various health care sectors. It uses a variety of techniques to find hidden patterns and these patterns can be used by physicians in evaluating the effectiveness of medical treatments. The current study explores the utility of various Data Mining techniques such as ANN, Decision Tree, K-NN, SVM, Bayesian Methods in healthcare domain and also highlights various applications in healthcare. The main focus of this study will be to carry out the survey of existing data mining techniques used in healthcare sectors.

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  • EP ID EP330373
  • DOI 10.7324/IJASRE.2017.32486
  • Views 60
  • Downloads 0

How To Cite

(2017). Data Mining for diagnosis in Healthcare Sector-A Review. International Journal of Advances in Scientific Research and Engineering, 3(8), 1-7. https://europub.co.uk/articles/-A-330373