Healthcare tracking using data mining approaches: A review

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

State the objectives of your study Methods: This review investigates the value of more than a few Data Mining systems similar to classification such as K-Nearest Neighbor (K-NN), Decision Tree (DT), Support Vector Machine (SVM), Neural Network (NN), Bayesian Methods in fitness area. Mention the data source accessed; keywords used; inclusion and exclusion criteria Findings: State the outcome of your study Applications: Some of the major applications of data mining in healthcare are evaluation of treatment effectiveness, management of healthcare, customer relationship management, and the detection of fraud and abuse.

Cite

CITATION STYLE

APA

Shivaranjani, P., Ezhilarasie, R., Umamakeswari, A., & Sujatha, M. (2016). Healthcare tracking using data mining approaches: A review. Indian Journal of Science and Technology, 9(48). https://doi.org/10.17485/ijst/2016/v9i48/107984

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free