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A Survey on Data Mining Techniques and their Comparison Approaches for Healthcare

R. Vidhu, S. Kiruthika


Data Mining (DM) has become important tool in business and related areas and its task in the healthcare field is still being explored. DM refers to mining or discovery of new information in terms of patterns or rules from vast amounts of data. To be useful, data mining must be carried out efficiently on large files and database currently, most applications of DM in healthcare can be classified into two areas: Decision Support (DS) for clinical practice, and policy development. However, it is difficult to find experimental literature in this area since a considerable amount of existing work in DM for healthcare is theoretical in nature.DM in healthcare helps in collecting heterogeneous volume of data and is stored in an organized form. The patient’s reports are maintained and analyzed in order to relate data. In view of the large amount of medical data being generated, there is growing pressure for improved methods of data analysis and knowledge discovery using appropriate data mining techniques. [1] A proper medical database created with intention mining can provide a useful resource for data mining and knowledge discovery. The terms Knowledge Discovery in Databases (KDD) and data mining are used interchangeably. KDD is the process of finding useful information, and data mining is the process for extracting knowledge (information and patterns) derived by the KDD process using algorithms .This article explores data mining applications in healthcare. In particular, it discusses data mining and its applications within healthcare in major areas such as the evaluation of treatment effectiveness, management of healthcare, Customer Relationship Management (CRM), and the detection of fraud and abuse.


Data Mining, Medical Data, Knowledge Discovery, Customer Rela-tionship Management.

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. Olegas Niaks U -Development and Application of Data Mining Methods in Medical Diagnostics and Healthcare Management, Doctoral Dissertation Technological Sciences, Informatics Engi-neering

. B.Renuka Devi, Dr.K.Nageswararao, Dr.S.Pallamsetty And Dr.M.Nagabhushanarao,-Disaster Prediction System Using Ibm Spss Data Mining Tool,, International Journal Of Engineering Trends And Technology (IJEET) - Volume4 Issue8- August 2013issn: 2231.

. Jayanthiranjan, ―Applications Of Data Mining Techniques In Pharmaceutical Industry, Journal Of Theoretical And Applied Technology, (2007).

. Eliaslemuye, ―Hiv Status Predictive Modeling Using Data Mining Technology

. Org Data Mining Applications In Healthcare Sector: A Study M. Durairaj, V. Ranjani International Journal Of Scientific & Technol-ogy Research Volume 2, Issue 10, October 2013 ISSN 2277-8616 29 IJSTR©2013 WWW.IJSTR.

. R. D. Canlas Jr., “Data Mining In Healthcare:Current Applications And Issues”, (2009).

. Siri Krishan Wasan, Vasudha Bhatnagar and Harleen Kaur-The Impact of Data Mining Techniques on Medical Diagnostics. Data Science Journal, Volume 5, 19 October 2006

. nternational Journal Of Public Health Science (Ijphs)Vol. 1, No. 2, December 2012, ISSN: 2252-8806 Prediction And Decision Mak-ing In Health Care Using Datamining Boris Milovic, Milan Milovic

. Eapen, A. G. (2004). Application of Data Mining In Medical Ap-plications. Ontario, Canada, 2004: University Of Waterloo `

. Hosseinkhah, F., Ashktorab, H., Veen, R., & Ojaboni, M. O. (2009). Challenges In Data Mining On Medical Databases. The Best Approach to Healthcare Analytics http://www.healthcatalyst. com/best-healthcare-analytics-approach

. International Journal of Computer Applications (0975 – 8887) Volume 120 – No.15, June 2015 Techniques of Data Mining In Healthcare: A Review Mobile Data Mining for Intelligent Healthcare Support

. JayanthiRanjan, ―Applications of data mining techniques in pharmaceutical industry‖, Journal of Theoretical and Applied Technology, (2007).

. D. Delen, “Analysis of cancer data: a data mining approach”, (2009)

. H. C. Koh and G. Tan, “Data Mining Application in Healthcare”, Journal of Healthcare Information Management, vol. 19, no. 2, (2005).

. International Journal of Bio-Science and Bio-Technology Vol.5, No.5 (2013), pp. 241-266 ISSN: 2233-7849 IJBSBT Copyright ⓒ 2013 SERSC A survey on Data Mining ap-proaches for Healthcare Divya Tomar and Sonali Agarwal

. D. Hand, H. Mannila and P. Smyth, “Principles of data mining”, MIT, (2001).

. U. Fayyad, G. Piatetsky-Shapiro and P. Smyth, “The KDD process of extracting useful knowledge form volumes of data. commun.” ACM, vol. 39, no. 11, (1996).

. Tom Mitchell 1997 “Machine Learning”, McGraw Hill,

. International Journal Of Scientific & Technology Research Volume 2, Issue 10, October 2013 ISSN 2277-8616 29 IJSTR©2013 Data Mining Applications In Healthcare Sector: A Study M. Durairaj, V. Ranjani


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