The ECAES expert system : a prototype expert system application in medical assessment

Pao Yue-kong Library Electronic Theses Database

The ECAES expert system : a prototype expert system application in medical assessment

 

Author: Mak, Chi-tung William
Title: The ECAES expert system : a prototype expert system application in medical assessment
Degree: M.Sc.
Year: 1996
Subject: Workers' compensation -- China -- Hong Kong
Expert systems (Computer science)
Hong Kong. Employees' Compensation Assessment Expert System
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Computing
Pages: 1 v. (various pagings) : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1234975
URI: http://theses.lib.polyu.edu.hk/handle/200/5099
Abstract: The Employees' Compensation Assessment Expert System(ECAES) The Employees' Compensation Assessment Board is established by the law to assess the loss of earning capacity of workers injured at work. The Assessment Boards are convened in twelve major hospitals and members of the board vary from tine to time. Consistency of the assessment standards are difficult to maintain which inevitably affects the quality of assessment. The ECAES (Employees' Compensation Assessment Expert System) is a good example of what and how an expert system can do to enhance the effectiveness and efficiency of a medical assessment system. The development process of ECAES also illustrates how KADS, by far the most well-researched technique in analysis for knowledge-based systems, is applied to generate a systematic and well-documented prototype. The ECAES has a number of special features, including emphasis on certainty reasoning to enhance the confidence and realism of assessment results, use of KAPPA expert system shell as development tool, with advanced graphical user interface and object-oriented programming, extensive application of the Incrementally Acquired Evidence Technique developed by the MYCIN project and so forth. On the whole, the ECAES is a successful and fruitful experience in consolidating the art of information system with the science of uncertainty reasoning in a practical problem domain. A full-scaled development of the ECAES is highly recommended and will definitely lead to a brand-new approach of medical assessment.

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