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Dissertation Chapters | Computer Science & Engineering | India | Volume 5 Issue 4, April 2016 | Popularity: 7 / 10

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Application of Data Mining in Health Care

S. L. Nalawade, Dr. R.V. Kulkarni

Abstract: Data mining is the process of selecting, exploring and modeling a large database in order to discover model and pattern that are unknown. Data mining refers to extracting knowledge from large amount of data. Real life data mining approaches are interesting because they often present a different set of problems for data miners. The huge amounts of data generated by healthcare transactions are too complex and in large volume to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. The purpose of this study is to review the relevant data mining tool and its applications in healthcare units. This paper focuses on various models and techniques used in data mining for health care and its applications for better health policy-making and in decision making. It provides recommendation for future research in the application of data mining in health care units.

Keywords: Data mining tools, Blood bank, Health Care Information, Weka, R tool

Edition: Volume 5 Issue 4, April 2016

Pages: 262 - 268

DOI: https://www.doi.org/10.21275/NOV162522

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