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Multi Disease Prediction Using Data Mining Techniques


Affiliations
1 Department of Computer Science, Karpagam University, Coimbatore, Tamil Nadu, India
2 Department of Information Technology, Karpagam University, Coimbatore, Tamil Nadu, India
     

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Data mining techniques are used for a variety of applications. In healthcare industry, data mining plays an important role in predicting diseases. For detecting a disease number of tests should be required from the patient. But using data mining technique the number of tests can be reduced. This reduced test plays an important role in time and performance. This paper analyzes data mining techniques which can be used for predicting different types of diseases. This paper reviewed the research papers which mainly concentrate on predicting heart disease, Diabetes and Breast cancer etc.

Keywords

Data Mining, Classification, Naive Bayes, J48, Decision Tree.
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  • http://www.mayoclinic.org/diseases-conditions/heart-disease/basics/definition/con-20034056
  • http://www.idf.org/about-diabetes
  • http://www.cancer.org/cancer/breastcancer/detailedguide/breast-cancer-what-is-breast-cancer
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Abstract Views: 220

PDF Views: 3




  • Multi Disease Prediction Using Data Mining Techniques

Abstract Views: 220  |  PDF Views: 3

Authors

K. Gomathi
Department of Computer Science, Karpagam University, Coimbatore, Tamil Nadu, India
D. Shanmuga Priya
Department of Information Technology, Karpagam University, Coimbatore, Tamil Nadu, India

Abstract


Data mining techniques are used for a variety of applications. In healthcare industry, data mining plays an important role in predicting diseases. For detecting a disease number of tests should be required from the patient. But using data mining technique the number of tests can be reduced. This reduced test plays an important role in time and performance. This paper analyzes data mining techniques which can be used for predicting different types of diseases. This paper reviewed the research papers which mainly concentrate on predicting heart disease, Diabetes and Breast cancer etc.

Keywords


Data Mining, Classification, Naive Bayes, J48, Decision Tree.

References