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Data Mining Driven Rule Based Expert System for Medical Billing Compliance: A Case Study

Data Mining Driven Rule Based Expert System for Medical Billing Compliance: A Case Study

Umair Abdullah, Aftab Ahmed, Sohail Asghar, Kashif Zafar
ISBN13: 9781466685130|ISBN10: 1466685131|EISBN13: 9781466685147
DOI: 10.4018/978-1-4666-8513-0.ch013
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MLA

Abdullah, Umair, et al. "Data Mining Driven Rule Based Expert System for Medical Billing Compliance: A Case Study." Improving Knowledge Discovery through the Integration of Data Mining Techniques, edited by Muhammad Usman, IGI Global, 2015, pp. 260-288. https://doi.org/10.4018/978-1-4666-8513-0.ch013

APA

Abdullah, U., Ahmed, A., Asghar, S., & Zafar, K. (2015). Data Mining Driven Rule Based Expert System for Medical Billing Compliance: A Case Study. In M. Usman (Ed.), Improving Knowledge Discovery through the Integration of Data Mining Techniques (pp. 260-288). IGI Global. https://doi.org/10.4018/978-1-4666-8513-0.ch013

Chicago

Abdullah, Umair, et al. "Data Mining Driven Rule Based Expert System for Medical Billing Compliance: A Case Study." In Improving Knowledge Discovery through the Integration of Data Mining Techniques, edited by Muhammad Usman, 260-288. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8513-0.ch013

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Abstract

Most of the data mining projects generate information (summarized in the form of graphs and charts) for business executives and decision makers; however it leaves to the choice of decision makers either to use it or disregard it. The manual use of the extracted knowledge limits the effectiveness of data mining technology considerably. This chapter proposes an architecture, in which data mining module is utilized to provide continuous supply of knowledge to a rule based expert system. Proposed approach solves the knowledge acquisition problem of rule based systems and also enhances effective utilization of data mining techniques (i.e. by supplying extracted knowledge to rule based system for automated use). The chapter describes the details of a data mining driven rule based expert system applied in medical billing domain. Main modules of the system along with the final analysis of performance of the system have also been presented.

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