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An Integrated System for E-Medicine (E-Health, Telemedicine and Medical Expert Systems)

An Integrated System for E-Medicine (E-Health, Telemedicine and Medical Expert Systems)

Ivan Chorbev, Boban Joksimoski
Copyright: © 2011 |Pages: 22
ISBN13: 9781609605612|ISBN10: 1609605616|EISBN13: 9781609605629
DOI: 10.4018/978-1-60960-561-2.ch218
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MLA

Chorbev, Ivan, and Boban Joksimoski. "An Integrated System for E-Medicine (E-Health, Telemedicine and Medical Expert Systems)." Clinical Technologies: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2011, pp. 486-507. https://doi.org/10.4018/978-1-60960-561-2.ch218

APA

Chorbev, I. & Joksimoski, B. (2011). An Integrated System for E-Medicine (E-Health, Telemedicine and Medical Expert Systems). In I. Management Association (Ed.), Clinical Technologies: Concepts, Methodologies, Tools and Applications (pp. 486-507). IGI Global. https://doi.org/10.4018/978-1-60960-561-2.ch218

Chicago

Chorbev, Ivan, and Boban Joksimoski. "An Integrated System for E-Medicine (E-Health, Telemedicine and Medical Expert Systems)." In Clinical Technologies: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 486-507. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-561-2.ch218

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Abstract

This chapter presents an overview of an integrated system for eMedicine that the authors propose and implement in the Republic of Macedonia. The system contains advanced medical information systems, various telemedicine services supported by modern telecommunication technologies, and decision support modules. The authors describe their telemedicine services that use wireless broadband technologies (WiMAX, 3G, Wi-Fi). A significant part of the chapter presents a web based medical expert system that performs self training using a heuristic rule induction algorithm. The data inserted by medical personnel while using the e-medicine system is subsequently used for additional learning. The system is trained using a hybrid heuristic algorithm for induction of classification rules that we developed. The SA Tabu Miner algorithm (Simulated Annealing and Tabu Search based Data Miner) is inspired by both research on heuristic optimization algorithms and rule induction data mining concepts and principles.

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