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    Intelligent Triage Assistant
    (2021-01-01)
    Duangdee, Wannarat
    ;
    Lalitrojwong, Pattarachai
    The triage of outpatient department is a vital process to screen patients. In addition, assessing the emergency case by the outpatient department can determine the quality of service. In emergency case, the patients have to be treated as soon as they arrive. If the triage of this case is delayed and the patients have major symptoms, it may develop serious complications leading to the cause of death or disability. Accordingly, assessing and making triage decisions, and assigning the level of patient acuity require being accurate, rapid and trustworthy in order to take care and treat them in time. Due to the fact that nowadays there is only one nurse on duty for the triage, he or she cannot well handle a bunch of patients arriving for treatment. According to Hospital and Healthcare Standards, 4th edition, the Healthcare Accreditation Institute (Public Organization) allows the use of technology to improve hospital services. This research aims to develop an intelligent triage assistant. To help the process by making triage decisions for all the patients promptly, assigning an acuity level and screening and assigning the patients to an area based on acuity. If unsuitable results happen, the triage nurse can be on duty promptly. Our intelligent triage assistant has been implemented using Visual Studio C#, Microsoft SQL Server for the database, and QnA Maker for the knowledge base. The application has been tested by outpatient nurses. They are quite satisfied with the primary outcome and recommend further improvements for future work.
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    An RDF-based distributed expert system
    (2009-09-04)
    Prapakorn, Napat
    ;
    Chittayasothorn, Suphamit
    An expert system or knowledge-based system comprises of a knowledge base and an inference engine in which their expertise knowledge is represented. The knowledge can be called upon when needed to solve a problem by the inference engine. In a large expert system, the knowledge base can be represented using frames. Hence they are called frame-based expert system or frame-based system. To avoid too many communication traffics during inferences, a distributed expert system, an expert system with an inference engine on its external knowledge base side is presented. It is an expert system which has an RDF external knowledge base for improved flexibility and mobility in knowledge sharing. This research presents a design and implementation of a Frame-based RDF expert system which has a RDF/XML database as its external knowledge base. The external knowledge base uses frame as its knowledge representation stored in RDF/XML format so that it can be placed on the WWW (World Wide Web) which is, ideally, accessible from anywhere. With this capability, an expert system will be enriched with flexibility and mobility in knowledge sharing.
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    A frame-based object relational expert database system
    (2007-12-01)
    Rattanaprateep, Chuleerat
    ;
    Chittayasothorn, Suphamit
    An expert database system is an expert system which is developed on databases using DBMS technology to manage facts and rules. Frame-based expert systems are widely used as the knowledge representation for such expert systems with large knowledge bases. Many systems have the ability to connect to external databases. Facts stored in databases can be loaded into expert system's knowledge base and inference is performed by the inference engine of the expert system. In many cases, such external facts are required several times for each inference. Thus, a lot of communication traffic takes place. This research work present the design and implementation of a frame-based object-relational database system which has a tight coupling between the expert system and the external knowledge base. The external knowledge base also use frame as its knowledge representation. More over, it has its own inference engine so that inference can be perform on the knowledge base side and the results, not only simple facts, are sent back to the expert system for further inference. A medical consultation system is used as an illustrated example an Oracle 10g object relational DBMS is used as the database platform. ©2007 IEEE.
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    Expert database system architecture and implementation on object relational databases
    (2006-03-01)
    Rattanaprateep, Chuleerat
    ;
    Chittayasothorn, Suphamit
    An expert database system is an expert system which is developed on databases using DBMS technology to manage facts and rules. Frame-based expert systems are widely used as the knowledge representation for such expert systems with large knowledge bases. Many systems have the ability to connect to external databases. Facts stored in databases can be loaded into expert system's knowledge base and inference is performed by the inference engine of the expert system. In many cases, such external facts are required several times for each inference. Thus, a lot of communication traffic takes place. This research work present the design and implementation of a frame-based object-relational database system which has a tight coupling between the expert system and the external knowledge base. The external knowledge base also use frame as its knowledge representation. More over, it has its own inference engine so that inference can be perform on the knowledge base side and the results, not only simple facts, are sent back to the expert system for further inference. A medical consultation system is used as an illustrated example an Oracle 10g object relational DBMS is used as the database platform.