Utilization Of Expert Systems Research Articles

Utilization of Expert Systems as a Source of Information in Detecting Drug Interactions in the Treatment of Diabetes Mellitus Patients: A Systematic Literature Review

Background: The high prevalence of DM, as well as drug interaction problems that increase 2.5 times for each patient prescription and the side effects of individuals with diabetes mellitus including being more susceptible to drug interactions, it is necessary to monitor drug therapy in diabetes patients Mellitus. Methods: in this study, this research uses a literature study or uses a systematic literature review or also known as descriptive analysis based on research data. Results: This study shows that the use of expert systems in pharmacy, especially for disease detection and drug interactions, has been widely developed and proven to be able to detect. Conclusion: Based on the results and discussions that have been obtained, it can be concluded that the expert system is very useful for detecting disease and is also useful for checking drug interactions with a treatment therapy.

Expert Systems for Emulating the Decision Making Ability of a Human Expert

Expert systems are a type of technology that supports an organization to identify the challenges of a project and help the organization to take effective steps to resolve the challenges. The research study is based on the utilization of expert systems on the decision-making ability of human experts. The research study has adopted a positivist research philosophy, exploratory research design, and deductive research approach to mitigate the research objectives. On the other hand, the research study has been done through the implication of a secondary quantitative data collection method. Based on the secondary quantitative research study, the study has shown the potential impact of an expert system on the decision-making ability of human experts. This research study has explained the way expert systems are creating a positive influence on the operational efficiency of an organization and the utilization of expert systems has also enhanced the decision-making ability of human exports up to 42%. Moreover, the implication of expert systems is beneficial for providing growth in business. Keyword : Human experts, project, Artificial intelligence, technology, expert systems.

Stunting Sistem Cerdas Mendiagnosa Stunting pada Anak Menggunakan Mesin Inferensi

Stunting is an unresolved nutritional problem in Indonesia. Stunting is a physical growth disorder characterized by a decrease in growth speed and is the impact of nutritional imbalances. Stunting will cause long-term impacts, namely disruption of physical, mental, intellectual, and cognitive development. Children who are stunted until the age of 5 years will be difficult to repair so that it will continue into adulthood and can increase the risk of offspring with low birth weight. Low economic factors cause people to think twice about consulting on stunting with doctors or nutritionists. In addition, the reluctance to come to the Puskesmas is an indicator of the low level of public awareness of children's health. Whereas the Puskesmas is a place that provides information about the problem of stunting. This is one of the causes of the delay in reducing the prevalence of stunting. An expert system is a system that seeks to adopt human abilities or knowledge into computers, so that computers can work in solving a problem like an expert or someone who has knowledge in a particular field. Utilization of expert systems with certainty factor methods and forward chaining inference engines will greatly help facilitate the community in making an early diagnosis of stunting in children, so that people can take initial treatment if their child is diagnosed with stunting. With this facility, of course, the risk of increasing stunting in children can be reduced and even prevention is carried out.

Uncertainty in expert systems and credit granting decisions

One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.

Transfer Effects of Semantic Networks on Expert Systems: Mindtools at Work

Semantic networks and expert systems can support learning and critical thinking as Mindtools. Mindtools are computer-based tools that function as intellectual partners with the learner in order to engage and facilitate critical thinking and higher-order learning. Semantic networks and expert systems in particular are cognitive reflection tools that help learners to build a representation of what they know by designing their own knowledge bases. Semantic networks have been used as a knowledge elicitation tool for expert system construction; however, the effects of using these tools together has never been formally studied. This study examined the effects of building semantic networks on the coherence and utility of expert systems subsequently constructed. Subjects who constructed semantic networks first produced expert systems with significantly more rules and rule types than a control group. The task's intentional ambiguity and the differences in thinking necessary for semantic network and expert system construction may have affected the non-significance of other expert system complexity variables.

Expert systems in engineering design: an application for injection molding of plastic parts

The rich development environments of expert system shells provide tools for developing knowledge-based expert systems for complex tasks such as engineering design. The diverse knowledge in engineering design combines heuristics with deterministic knowledge, from multiple sources, and involves complicated, interrelated components. The hybrid capabilities in emerging expert system tools effectively address this diverse knowledge, and facilitate the rapid development of design aids by the engineering designer. A prototype expert system for injection-molded plastic parts demonstrates the utility of expert systems for design applications. The prototype is implemented in an object-oriented, rule-based environment, and incorporates solid modeling software and external material databases.

A module‐based conceptual framework for largescale expert systems

Increasing utilization of expert systems in organizations has necessitated development of large‐scale expert systems that deal with complex problem domains requiring handling of large knowledge bases. Adapts the concepts and structures of open information systems to outline a conceptual framework for large‐scale expert system development called an open‐based expert system (OES) architecture. The framework proposes partitioning large‐scale expert systems development into smaller and autonomous expert system modules which communicate through a flexible interface. The expert system modules may be built small enough to achieve reliability, and the open structure of the architecture allows the modules to be incorporated into a larger information system. The OES architecture is implemented on vp‐expert shell, and a prototype is developed to demonstrate its working.

Contribution to the Research and Development of Radiation Chambers in Steam Reforming. Problem-Oriented Application of a Fuzzy Expert System

An application of a fuzzy expert system intended for estimating some parameters of steam reforming can also be one of the examples of an ever increasing utilization of expert systems in practice. The present contribution deals with the method making use of a verified mathematical model for simulating thermal chemical processes in reforming furnace radiation chamber in order to create knowledge base. This base includes linguistic values of selected independent and dependent variable quantities. Examples given illustrate an evaluation of dependent variable quantities (methane conversion into carbon dioxide and monoxide, reaction tube service life) by means of the said expert system based on queries.

A brief overview of the current status of expert systems in Japan

A number of expert systems have been built in many Japanese industries, and more than 250 systems are used in practice. Japan has caught the “AI fever” since the 5th generation computer project has been set up, though it is currently abating. People have realized the utility of expert systems and are developing advanced techniques to make expert sytems really useful. A brief overview of the current Japanese status of expert systems is presented here.

The utilization of expert systems in OR/MS: An assessment

Expert systems technology is being productively utilized by Operations Research/Management Science professionals, both as a stand-alone consultant or assistant, and integrated with other computer-based tools used by OR practitioners for the solution of complex or unique problems. In addition, there is an increasing appearance of some ES component in decision support systems. This article assesses the current state of ES in these roles, and discusses other areas, such as tutoring and enhancing the chances of implementation of OR recommendations, in which ES can benefit the operations researcher.

Expert System Tools for Construction Planning and Control

The potential utilization of expert systems in construction management has drawn considerable attention in recent years. Many prototype systems were developed and have been described in previous studies. None of these studies, however, has addressed the basis for the selection of an expert system building tool (ESBT), the most important component in developing such systems. This paper presents a set of criteria for such selection. The criteria is then applied to investigate nine commercially available ESBTs, including four microcomputer‐based tools, for building a knowledge‐based expert system for construction planning and control. The criteria, although developed for specific application, could be readily extend to cover other problem domians.

Chemometrics for material analysis

Chemometric methods are described that provide effective means to enhance the information of analytical methods in material analysis and to enable knowledge engineering tools to be applied within the field. Typical applications are outlined for depth-profile analysis, for pattern recognition on ceramic systems as well as for the utilization of expert systems.