Data Mining& Health Care: Techniques ofApplication

The issue of health care assumes prime importance for the society and is a significant indicator of social development. Health is clearly not the mere absence of disease but confers on a person or group‟s freedom from illness and the ability to realize one‟s potential. Health is therefore best understood as the indispensable basis for defining a person‟s sense of well-being. The delivery of health care services thus assumes greater proportion, and in this context the role played by information and communication technology has certainly a greater contribution for its effective delivery mechanism. The application of data mining is specifically relevant and it has been successfully applied in medical needs for its reliable precision accuracy and expeditious beneficial results. The various available application techniques have been discussed and analyzed for the purpose of the paper.

[1]  Vikram Singh,et al.  PROPOSED ARCHITECTURE: CLOUD BASED MEDICAL INFORMATION RETRIEVAL NETWORK , 2013 .

[2]  Hsu-Hao Tsai,et al.  Global data mining: An empirical study of current trends, future forecasts and technology diffusions , 2012, Expert Syst. Appl..

[3]  Hamidreza Zareipour,et al.  Data association mining for identifying lighting energy waste patterns in educational institutes , 2013 .

[4]  M.Veera Krishna S.Prem Kumar K.R.Lakshmi.  PERFORMANCE COMPARISON OF DATA MINING TECHNIQUES FOR PREDICTION AND DIAGNOSIS OF BREAST CANCER DISEASE SURVIVABILITY , 2013 .

[5]  T. P. Senthilkumar,et al.  Mining Techniques in Health Care: A Survey of Immunization , 2014 .

[6]  Monica Chiarini Tremblay,et al.  Identifying fall-related injuries: Text mining the electronic medical record , 2009, Inf. Technol. Manag..

[7]  Ms. Ishtake.  " Intelligent Heart Disease Prediction System Using Data Mining Techniques " , .

[8]  L. Gentry,et al.  A practical data mining method to link hospital microbiology and an infection control database , 2008 .

[9]  Yong Hu,et al.  The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature , 2011, Decis. Support Syst..

[10]  Christie M. Fuller,et al.  Analysis of healthcare coverage: A data mining approach , 2009, Expert Syst. Appl..

[11]  San-Yih Hwang,et al.  A process-mining framework for the detection of healthcare fraud and abuse , 2006, Expert Syst. Appl..

[12]  Ting-Ting Lee,et al.  Application of data mining to the identification of critical factors in patient falls using a web-based reporting system , 2011, Int. J. Medical Informatics.

[13]  L. Aiken,et al.  International migration of nurses: introduction. , 2007, Health services research.

[14]  Jung P. Shim,et al.  An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry , 2007, Eur. J. Inf. Syst..

[15]  Krzysztof J. Cios,et al.  Uniqueness of medical data mining , 2002, Artif. Intell. Medicine.

[16]  Kweku-Muata Osei-Bryson,et al.  Framework for formal implementation of the business understanding phase of data mining projects , 2009, Expert Syst. Appl..

[17]  S Vijiyarani,et al.  DISEASE PREDICTION IN DATA MINING TECHNIQUE – A SURVEY , 2013 .

[18]  Alok Bhargava,et al.  Healthcare infrastructure, contraceptive use and infant mortality in Uttar Pradesh, India. , 2005, Economics and human biology.

[19]  Vijay M. Wadhai,et al.  An Adaptive parameter free data mining approach for healthcare application , 2012, ArXiv.

[20]  Wen-Yuan Jen,et al.  Mobile healthcare services in school-based health center , 2009, Int. J. Medical Informatics.

[21]  S. Prem Kumar,et al.  Performance Comparison of Data Mining Techniques for Predicting of Heart Disease Survivability , 2013 .

[22]  J. Jaccard,et al.  Multidomain patient-reported outcomes of irritable bowel syndrome: exploring person-centered perspectives to better understand symptom severity scores. , 2013, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[23]  Ali Serhan Koyuncugil,et al.  Financial early warning system model and data mining application for risk detection , 2012, Expert Syst. Appl..

[24]  Dharminder Kumar,et al.  Outlier Mining in Medical Databases: An Application of Data Mining in Health Care Management to Detect Abnormal Values Presented In Medical Databases , 2008 .

[25]  Dr M. HEMALATHA,et al.  MINING TECHNIQUES IN HEALTH CARE : A SURVEY OF IMMUNIZATION , 2011 .

[26]  L. Turner.  ‘First World Health Care at Third World Prices’: Globalization, Bioethics and Medical Tourism , 2007 .

[27]  David J. Hand,et al.  Statistical fraud detection: A review , 2002 .

[28]  Julien Subercaze,et al.  Knowledge Management in Healthcare , 2010 .

[29]  Tai-Hsi Wu,et al.  Using data mining techniques to predict hospitalization of hemodialysis patients , 2011, Decis. Support Syst..

[30]  Vincent S. Tseng,et al.  A novel data mining mechanism considering bio-signal and environmental data with applications on asthma monitoring , 2011, Comput. Methods Programs Biomed..

[31]  Huilong Duan,et al.  On mining clinical pathway patterns from medical behaviors , 2012, Artif. Intell. Medicine.

[32]  Petr Hájek,et al.  The GUHA method and its meaning for data mining , 2010, J. Comput. Syst. Sci..

[33]  Diogo R. Ferreira,et al.  Business process analysis in healthcare environments: A methodology based on process mining , 2012, Inf. Syst..

[34]  Gloria E. Phillips-Wren,et al.  Mining lung cancer patient data to assess healthcare resource utilization , 2008, Expert Syst. Appl..

[35]  G. Narsimha,et al.  A STUDY ON CLINICAL PREDICTION USING DATA MINING TECHNIQUES , 2013 .

[36]  S. A. Hannan,et al.  Mining Techniques to Find Out Heart Diseases : An Overview , 2012 .

[37]  Mary K Obenshain.  Application of Data Mining Techniques to Healthcare Data , 2004, Infection Control & Hospital Epidemiology.

[38]  David Sanders,et al.  The health and health system of South Africa: historical roots of current public health challenges , 2009, The Lancet.

[39]  Syed Sibte Raza Abidi,et al.  Knowledge management in healthcare: towards 'knowledge-driven' decision-support services , 2001, Int. J. Medical Informatics.

[40]  Harleen Kaur,et al.  Empirical Study on Applications of Data Mining Techniques in Healthcare , 2006 .

[41]  L. Parthiban,et al.  Intelligent Heart Disease Prediction System Using CANFIS and Genetic Algorithm , 2007 .

[42]  S. Javali.  A STRUCTURAL EQUATION MODEL OF THE DETERMINANTS OF HEALTH CARE IN THE SURVEYED HOUSEHOLDS IN RURAL AREA OF DHARWAD DISTRICT, KARNATAKA STATE, INDIA , 2012 .

[43]  Harleen Kaur,et al.  The impact of data mining techniques on medical diagnostics , 2006, Data Sci. J..

[44]  José Maria Parente de Oliveira,et al.  A data mining system for providing analytical information on brain tumors to public health decision makers , 2013, Comput. Methods Programs Biomed..

[45]  Kiran Jyoti,et al.  An Analysis of Heart Disease Prediction using Different Data Mining Techniques , 2012 .

[46]  Shelly Gupta,et al.  PERFORMANCE ANALYSIS OF VARIOUS DATA MINING CLASSIFICATION TECHNIQUES ON HEALTHCARE DATA , 2011 .

[47]  M. Radha.  Problems and Prospects of Health Care Services in India , 2011 .

[48]  Hyunjung Shin,et al.  A scoring model to detect abusive billing patterns in health insurance claims , 2012, Expert Syst. Appl..

[49]  Ilias Iakovidis,et al.  Towards personal health record: current situation, obstacles and trends in implementation of electronic healthcare record in Europe , 1998, Int. J. Medical Informatics.