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Vol. 5  No. 3 (2019) · Articles

DATA MINING IN HEALTHCARE: A REVIEW

Sandeep Gupta
Dept. of CSE/IT, SATI Vidisha, India , IN

📅 Published: March 2019

Keywords: Data Mining, Classification, Clustering, DM Tools.

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Abstract

In this study, we assemble the related information that demonstrates the importance of data mining in healthcare. As the amount of composed health data is collective meaningfully every day, it is supposed that a sturdy examination tool that is capable of treatment and examining big health information is very important. Data mining  DM) is an significant area of study and is practically used in dissimilar domains like finance, medical study, teaching, healthcare etc. In detail, the task of information removal from the medical data is a stimulating attempt and it is a multifaceted task.

Though, the requests of data mining in healthcare, compensations of data mining methods over traditional methods, singular appearances of strength data and new health condition secrets have made DM exceptionally basic for wellbeing information examination.

How to Cite

Sandeep Gupta, “DATA MINING IN HEALTHCARE: A REVIEW,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 3, pp. 651-655, March 2019.

References

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