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IJSTR >> Volume 2- Issue 10, October 2013 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Data Mining Applications In Healthcare Sector: A Study

[Full Text]



M. Durairaj, V. Ranjani



Index Terms: Data Mining, Knowledge Discovery Database, In-Vitro Fertilization (IVF), Artificial Neural Network, WEKA, NCC2.



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.



[1]. HianChyeKoh and Gerald Tan, “Data Mining Applications in Healthcare”, journal of Healthcare Information Management – Vol 19, No 2.

[2]. JayanthiRanjan, “Applications of data mining techniques in pharmaceutical industry”, Journal of Theoretical and Applied Technology, (2007).

[3]. RubanD.Canlas Jr., MSIT., MBA , “ Data mining in Healthcare: Current applications and issues”.

[4]. K. Srinivas , B. Kavitha Rani and Dr. A. Govrdhan, “Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacks” International Journal on Computer Science and Engineering (2010).

[5]. ShwetaKharya, “Using Data Mining Techniques ForDiagnosis And Prognosis Of Cancer Disease”, International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.2, April 2012.

[6]. EliasLemuye, “Hiv Status Predictive Modeling Using Data Mining Technology”.

[7]. Arvind Sharma and P.C. Gupta “Predicting the Number of Blood Donors through their Age and Blood Group by using Data Mining Tool” International Journal of Communication and Computer Technologies Volume 01 – No.6, Issue: 02 September 2012.

[8]. Arun K Punjari, “Data Mining Techniques”, Universities (India) Press Private Limited, 2006.

[9]. Margaret H.Dunham, “Data Mining Introductory and Advanced Topics”, Pearson Education (Singapore) Pte.Ltd.,India. 2005.

[10]. PrasannaDesikan, Kuo-Wei Hsu, JaideepSrivastava, “Data Mining For Healthcare Management”, 2011SIAM International Conference on Data Mining, April, 2011.

[11]. Mobile Data Mining for Intelligent Healthcare Support

[12]. ShusakuTsumoto and Shoji Hirano, “Temporal Data Mining in Hospital Information Systems”.

[13]. David Page and Mark Craven, “Biological Applications of MultiRelationalData Mining”.

[14]. N. AdityaSundar, P. PushpaLatha and M. Rama Chandra, “Performance Analysis of Classification Data Mining Techniques Over Heart Disease Data Base”, International Journal of Engineering Science & Advanced Technology, (2012).

[15]. HardikManiya, Mosin I. Hasan and Komal P. Patel, “Comparative study of Naïve Bayes Classifier and KNN for Tuberculosis”, International Conference on Web Services Computing (ICWSC) 2011 Proceedings published by International Journal of Computer Applications® (IJCA).

[16]. Andrew Kusiak , Bradley Dixonb and ShitalShaha, “Predicting survival time for kidney dialysis patients: a data mining approach”, Computers in Biology and Medicine 35 (2005) 311–327.

[17]. 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 (IJETT) - Volume4 Issue8- August 2013ISSN: 2231.

[18]. Leah Passmore, Julie Goodside, Lutz Hamel, LilianaGonzalez, T Ali Silberstein And James Trimarchi, “Assesing Decision Tree Models For Clinical In-Vitro Fertilization Data”, Technical Report TR03-296

[19]. SaangyongUhmn, Dong-Hoi Kim , Jin Kim , Sung Won Cho and Jae Youn Cheong, “Chronic Hepatitis Classification using SNP data and Data Mining Techniques”, Frontiers in the Convergence of Bioscience and Information Technologies 2007.

[20]. M.Durairaj, K.Meena, “A Hybrid Prediction System Using Rough Sets and Artificial Neural Networks”, International Journal Of Innovative Technology & Creative Engineering (ISSN: 2045-8711) VOL.1 NO.7 JULY 2011.

[21]. R. Srinivasan, Health care in India – Vision 2020 Issues and Prospects.