A Novel Prescriptive Approach for Health Care Management Using Predictive and Descriptive Analysis of Data Mining
C. Natarajan1, J. M. Gnanasekar2
1C. Natarajan, Research Scholar, Saveetha University, Chennai (Tamil Nadu), India.
2J. M. Gnanasekar, Professor, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 261-267 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1051376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Hiking in price of healthcare leads to the ways of optimizing the care efficiency. In this paper, we present a new methodological called prescriptive analysis that makes use of predictive and modelling approaches to figure out the analytical significance of the data mining approaches in health care management. Supervised model is the process of building a confined model that emerges in prediction on target variable and unsupervised model is the process of forming sub-units of data points with similar values of all variables not only the target variable. In this paper we propose a novel fusion of supervised and un- supervised model called prescriptive approach to analyze their effectiveness when being applied to health care management. Our experimental results proves to be vital that aids in selecting the appropriate clustering method that excels in prescriptive approach for healthcare resource management according to circumstances. The experimentation were done on five bench marked data sets and these methods are found to be justified and efficaciously applied to health care resource management department.
Keywords: Clustering, Classification, Prescriptive Analysis and Healthcare Modeling.
Scope of the Article: Data Mining