Apply On-Line Analytical Processing (OLAP)With Data Mining For Clinical Decision Support
International Journal of Managing Information Technology (IJMIT)
ISSN: 0975-5586 (Online); 0975-5926 (Print)
Article:
Apply On-Line Analytical Processing (OLAP)With Data Mining For Clinical Decision Support
Authors
Walid Qassim Qwaider, Majmaah University, Saudi Arabia
Abstract
Medicine is a new direction in his mission is to prevent, diagnose and medicate diseases using OLAP with data mining. Are analyzed clinical data on patient population and the wide range of performance
management of health care, unfortunately, are not converted to useful information for effective decision making. Built OLAP and data mining techniques in the field of health care, and an easy to use decision support platform, which supports the decision-making process of caregivers and clinical managers. This paper presents a model for clinical decision support system which combines the strengths of both OLAP and data mining. It provides a knowledge rich environment that cannot be achieved by using OLAP or data mining alone.
management of health care, unfortunately, are not converted to useful information for effective decision making. Built OLAP and data mining techniques in the field of health care, and an easy to use decision support platform, which supports the decision-making process of caregivers and clinical managers. This paper presents a model for clinical decision support system which combines the strengths of both OLAP and data mining. It provides a knowledge rich environment that cannot be achieved by using OLAP or data mining alone.
Keywords
Medicine, Clinical decision support system, OLAP, OLTP, Data mining, diabetic approach.
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