The Data Mining for diagnosis in Healthcare Sector-A Review

Authors

  • Umar Sidiq1
  • Dr.Rafi Ahmad Khan2

DOI:

https://doi.org/10.7324/IJASRE.2017.32486

Keywords:

Data mining, ANN, Decision Tree, K-NN, SVM, Bayesian Method.

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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How to Cite

Umar Sidiq1, & Dr.Rafi Ahmad Khan2. (2017). The Data Mining for diagnosis in Healthcare Sector-A Review. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 3(8), 1–9. https://doi.org/10.7324/IJASRE.2017.32486