Identifying Diabetic Patients: A Data Mining Approach

作者: Thomas Porter , Barbara Green

DOI:

关键词: Computer scienceData miningInventory theoryDiabetes mellitusHealth careInformation theoryValue (mathematics)Data analysis

摘要: Mounting amounts of data made traditional analysis methods impractical. Data mining (DM) tools provide a useful for alternative framework that addresses this problem. This study follows DM technique to identify diabetic patients. We develop model clusters diabetes patients large healthcare company into different subpopulation. Consequently, we show the value applying

参考文章(38)
Kostas Metaxiotis, Healthcare Knowledge Management Knowledge Management. pp. 1871- 1880 ,(2011) , 10.4018/978-1-59904-933-5.CH156
Shiraj Khan, Auroop R. Ganguly, Amar Gupta, Creating Knowledge for Business Decision Making Encyclopedia of Knowledge Management. pp. 150- 162 ,(2011) , 10.4018/978-1-59904-931-1.CH015
Rick L. Wilson, Peter A. Rosen, Mohammad Saad Al-Ahmadi, Knowledge Structure and Data Mining Techniques Encyclopedia of Knowledge Management. pp. 946- 954 ,(2011) , 10.4018/978-1-59904-931-1.CH090
Fritz Machlup, Knowledge : its creation, distribution, and economic significance Princeton University Press. ,(1980)
Ramasamy Uthurusamy, Usama Fayyad, EVOLVING DATA MINING INTO SOLUTIONS FOR INSIGHTS Communications of The ACM. ,vol. 45, pp. 28- 31 ,(2002)
Tal Ben-Zvi, Israel Spiegler, Data Mining and Knowledge Discovery: An Analytical Investigation americas conference on information systems. pp. 12- ,(2007)
Rajan Chattamvelli, Data Mining Methods ,(2009)
Stephen Smith, Kurt Thearling, Alex Berson, Building Data Mining Applications for CRM ,(1999)
Thomas H Davenport, Jeanne G Harris, Ajay K Kohli, None, HOW DO THEY KNOW THEIR CUSTOMERS SO WELL MIT Sloan Management Review. ,vol. 42, pp. 63- 73 ,(2001)