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Healthcare Tracking using Data Mining Approaches: a Review


Affiliations
1 School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, Tamilnadu, India
 

Objecet: 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.

Keywords

Bayesian, Classification, Data Mining, Healthcare.
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  • Healthcare Tracking using Data Mining Approaches: a Review

Abstract Views: 166  |  PDF Views: 0

Authors

P. Shivaranjani
School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, Tamilnadu, India
R. Ezhilarasie
School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, Tamilnadu, India
A. Umamakeswari
School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, Tamilnadu, India
M. Sujatha
School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, Tamilnadu, India

Abstract


Objecet: 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.

Keywords


Bayesian, Classification, Data Mining, Healthcare.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i48%2F138902