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Data Mining Applications In Healthcare Sector: A Study
[Full Text]
AUTHOR(S)
M. Durairaj, V. Ranjani
KEYWORDS
Index Terms: Data Mining, Knowledge Discovery Database, In-Vitro Fertilization (IVF), Artificial Neural Network, WEKA, NCC2.
ABSTRACT
ABSTRACT: In this paper, we have focused to compare a variety of techniques, approaches and different tools and its impact on the healthcare sector. The goal of data mining application is to turn that data are facts, numbers, or text which can be processed by a computer into knowledge or information. The main purpose of data mining application in healthcare systems is to develop an automated tool for identifying and disseminating relevant healthcare information. This paper aims to make a detailed study report of different types of data mining applications in the healthcare sector and to reduce the complexity of the study of the healthcare data transactions. Also presents a comparative study of different data mining applications, techniques and different methodologies applied for extracting knowledge from database generated in the healthcare industry. Finally, the existing data mining techniques with data mining algorithms and its application tools which are more valuable for healthcare services are discussed in detail.
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