Web Based Medical Expert System with a Self Training Heuristic Rule Induction Algorithm

2009 ◽  
Author(s):  
Ivan Chorbev ◽  
Dragan Mihajlov ◽  
Ilija Jolevski
Keyword(s):  
Expert System ◽  
Rule Induction ◽  
Medical Expert ◽  
Heuristic Rule ◽  
Web Based ◽  
Medical Expert System

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

2010 ◽  
pp. 104-126
Author(s):  
Ivan Chorbev ◽  
Boban Joksimoski
Keyword(s):  
Medical Information ◽  
Medical Personnel ◽  
Rule Induction ◽  
Integrated System ◽  
Medical Expert ◽  
Web Based ◽  
Medical Expert System ◽  
Hybrid Heuristic Algorithm ◽  
Wireless Broadband ◽  
The Republic

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.

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

2011 ◽  
pp. 486-507
Author(s):  
Ivan Chorbev ◽  
Boban Joksimoski
Keyword(s):  
Medical Information ◽  
Medical Personnel ◽  
Rule Induction ◽  
Integrated System ◽  
Medical Expert ◽  
Web Based ◽  
Medical Expert System ◽  
Hybrid Heuristic Algorithm ◽  
Wireless Broadband ◽  
The Republic

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.

Development of Medical Expert System for the Management of Tuberculosis [TBMEX]

1997 ◽  
Vol 30 (25) ◽  
pp. 209-213
Author(s):  
A Sukesh Kumar ◽  
P. Subba Rao ◽  
A. Kandaswamy
Keyword(s):  
Expert System ◽  
Medical Expert ◽  
Medical Expert System
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