Web-based Expert Systems Research Articles

PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT EPILEPSI (STUDI KASUS RUMAH SAKIT RADEN MATTAHER) BERBASIS WEB

The diagnosis of the disease made by an expert has its weaknesses as well as its biological weaknesses. One potential solution is an expert system. An expert system is a system that seeks to bring human knowledge into a computer so that it can solve problems as professionals are accustomed to. By trying to build an expert system for the diagnosis and treatment of epilepsy. There are 8 types of epilepsy, with a total of 92 symptoms. The inference method used is forward chaining. This method was chosen to overcome the problem of determining the type of disease by knowing the symptoms experienced. Web-based expert systems for easy system deployment. System performance is provided in consultation with answering questions posed by the system. This test gives patients what type of epilepsy they suffer from, so we can conclude that this system can be applied.

An Intelligent System for Proper Management and Disposal of Unused and Expired Medications.

For years, several countries have been concerned about how to dispose of unused pharmaceuticals that can endanger human health and the environment. Moreover, some people are in desperate need of medical attention and medications, but they lack the financial resources to obtain them. In Saudi Arabia, there are no take-back medicine programs, and there is no published research on how medications properly are disposed. The aim of this research is to use the power of artificial intelligence to assist in the proper management and disposal of expired and unused medications and to develop a prototype device for collecting medication by automatically classifying medications for proper disposal and donation. In this research, artificial intelligence technologies such as web-based expert systems, image recognition and classification algorithms, chatbots, and the internet of things are used to assist in a take-back medications program. In conclusion, the prototype design of a web-based expert system and the device reduced improper disposal risks by providing significant advice on the safe disposal of unwanted pharmaceuticals. By using an organized method of collecting expired medications, the benefits were made possible.

Penerapan Metode Certainty Factor Dalam Diagnosis Gangguan Depresi

Globalization can cause several problems and pressures of mind for both individuals and groups. Various kinds of problems can certainly lead to psychological disorders, one of which is depression. Indonesia itself is one of the countries with a high number of people with depressive disorders. Depressive disorder itself can have many consequences ranging from lack of enthusiasm to even death. Facing these serious problems, the government should be able to address the mental disorder that is currently happening. However, the reality is still far from this. Inadequate infrastructure, equality problems for each region, and shortages of experts are the main problems at this time. The expert system is considered to be a solution in solving these problems. Web-based expert systems can replace the role of experts in the process of initial diagnosis of depressive disorders, patients can also access them easily. The calculation method implemented is the Certainty Factor method. This method is considered suitable in the diagnosis of depression. The implementation of the CF method in the diagnosis of depression can provide a confidence level of up to 94.9%. The expert system is expected to be able to eliminate human errors, speed up the diagnostic process, make it easier for health workers, and provide standards for related parties in handling mental disorders

ExSIDE: Component Based Object Oriented Expert System’s Integrated Development Environment

This paper describes the design and development of a component-based object oriented Expert System's Integrated Development Environment (ExSIDE). It is integrated with (i) a user-friendly manual and automated knowledge acquisition and management tool (ExSIDE_KAMT);(ii) an independent and customizable runtime module (ExSIDE_RTM); (iii) an object-oriented in-process Component Object Model (COM)-based inference engine (ExSIDE_IE); (iv) an object-oriented out-of-process COM-based inference engine (ExSIDE_IESvr); (v) and a PHP based inference engine (ExSIDE_PHP). ExSIDE_RTM can function independently as an Expert System Shell (ESS) and helps user to develop Expert Systems rapidly. ExSIDE_IE and ExSIDE_IES can be integrated with COM-supporting general purpose and scientific application development tools such as variants of C/C++/C#, BASIC (Visual BASIC®, REALbasic®), Java, MATLAB®, LabVIEW®, and Mathematica® to develop more advanced Expert Systems. Finally, ExSIDE_IE and ExSIDE_PHP can be used with Active Server Pages (ASP) and PHP technologies to generate web based Expert Systems. The unique framework of the ExSIDE enables rapid development of Expert Systems' on PC and web for technical and non-technical users. The overall system was developed successfully, and its usability was demonstrated via five unique Expert Systems case studies discussed in this paper.

SISTEM PAKAR BERBASIS WEB DIAGNOSA JENIS PENYAKIT PADA LAMBUNG MANUSIA

One of the issues touched by the expert system is diagnostic in the field of health, the initial suspicion to diagnose diseases in the human stomach. Gastric disease or disorder can be infected by the disease so that the public needs to be aware. Therefore, the dissemination of information about the disease is needed to find out more types of the disease early. Types of gastric disease is Irritable Bowel Syndrome, Acute Superficial Gastritis, Chronic atrophic gastritis, peptic ulcer, Gastroesophageal Reflux (GERD), Functional Dyspepsia, Gaster Malignant Tumors, Ulcers Gaster. Thus aims to generate web-based expert systems in medicine to diagnose diseases in human gastric symptoms through perceived user. The methodology used for the research of expert system development methods. Methods to build an expert system that Forward Chaining method to search Depth First Search. References from the internet, books and people skilled in the art that dr.Susilaningsih, who worked at the Hospital PKU Muhmammadiyah Yogyakarta. As for the software using PHP as the programming language and MySQL as database. Keyword : Expert System, Disease in The Human Stomach, WEB, Forward Chaining

Anticoagulation Patient Self‐Monitoring in the United States: Considerations for Clinical Practice Adoption

Systematic management models such as anticoagulation clinics have emerged in order to optimize warfarin effectiveness and to minimize related complications. Most of these models are structured so that patients come to a clinic for in-person testing and evaluation, thus making this model of care difficult to access and time consuming for many patients. The emergence of portable instruments for measuring anticoagulant effect in capillary whole blood made it possible for patients receiving warfarin to self-monitor the effect of their anticoagulant therapy. Self-monitoring empowers patients, offers the advantage of more frequent monitoring, and increases patient convenience by allowing testing at home and avoiding the need for frequent laboratory and clinic visits. Self-monitoring can entail patient self-testing (PST) and/or patient self-management (PSM). Several studies have evaluated and shown the benefit of both PST and PSM models of care when compared with either routine medical care or anticoagulation clinic management of anticoagulation therapy. Self-monitoring (PSM and/or PST) of anticoagulation results in lower thromboembolic events, lower mortality, and no increase in major bleeding when compared with standard care. Despite favorable results and enhanced patient convenience, the adoption of self-monitoring into clinical practice in the United States has been limited, especially in higher risk, disadvantaged populations. Although the emergence of a multitude of novel oral anticoagulants will permit clinicians to better individualize anticoagulant therapy options by choosing the optimum regimen based on individual patient characteristics, it is also expected that traditional agents will continue to play a role in a significant subset of patients. For those patients treated with traditional anticoagulants such as warfarin, future models of care will entail patient-centered management such as PST and PSM. The incorporation of technology (i.e., Web-based expert systems) is expected to further improve the outcomes realized by PST and PSM. Further studies are needed to explore factors that influence the adoption of self-monitoring in the United States and to evaluate the feasibility and implementation in real-life clinical settings.

An expert system development tool for non AI experts

From their first applications until now, expert systems have provided solutions to multiple problems in companies of all types. With the advent of the Internet and its evolution, web-based expert systems have become very important. Moreover, the arrival of new mobile devices that can connect to the Internet has made it easy to access information from any place at any time, creating new requirements for web systems. The creation of an expert system normally requires certain technical knowledge and concepts of artificial intelligence (AI). If the need to make it accessible through the Internet is added, the degree of technical knowledge necessary for its development is greater, entailing an unaffordable cost for small and medium-sized companies. In this article, we present a tool for the development of web-based expert systems which permits the expert to define the knowledge without having to know anything about AI. The proposed inference engine is integrated in a web server through which it can be accessed from any device with an Internet connection. Finally, the article presents examples of developments achieved via the proposed framework.

Web-based expert systems and services

AbstractWeb-based expert systems (WBESs) provide the benefits of both expert system technology and web technology. The use of web services to deliver functionalities of WBESs allows the integration of these systems in web-portals. WBESs are used in a diversity of areas like engineering, management, medicine, agriculture, education, tourism, finance etc. A study on the various features of WBESs like knowledge-representation, reasoning, languages, implementation tools, use of various web services-related processes such as discovery, selection, composition etc. can result into some interesting conclusions. Presented work tries to fulfill the same purpose. The paper presents various WBESs classified according to their use of domain. The comparisons, observations, and assessments of these systems are presented by emphasizing the above-mentioned features of WBESs. A discussion on different web services-related processes and some representative techniques for performing each has also been provided to clarify their use in the WBESs. On the basis of assessments and surveys from different perspectives, some remarkable conclusions are drawn.

Generating domain-specific web-based expert systems

This paper describes a method to automatically generate web-based expert systems from XML descriptions of the knowledge domain. A domain-specific XML parser produces software modules for web-based information servers that feature dynamic expert system analysis. The case study is university course rules. An XML data definition file is developed featuring common rules and restrictions regarding courses. Web-based course information and enrollment guides can be automatically generated that dynamically execute a Prolog interpreter to provide expert advice.

HYDES: A Web-based hydro turbine fault diagnosis system

The hydro turboset is the key equipment of the electric power system. Thus, it is very important and necessary to monitor and diagnose the running conditions and the faults of the hydro turboset for the safe and normal running of the electric power system. Fault diagnosis of the hydro turbine is a complicated process and requires a high level of expertise. In order to significantly reduce the cost consumed in the fault diagnosis, to increase the consistency of diagnosing decision-making, and to better utilize the turbine's management information resource, in this paper, an integrated Web-based expert system of the fault diagnosis has been developed for the hydro turbine of a power station. Moreover, it can be regarded as an advisory tool to those who have much technical experience and as a training tool for the less-experienced personnel who seek guidance and advice. This paper describes a research project aiming to develop a Web-based intelligent diagnosis system for the hydro turbine and discusses the process of the fault diagnosis and the difficulties involved in developing the system. The paper also includes several practical issues related to the architectures of the intelligent Web-based applications. The system is built on a three-tier architecture, including the following components: knowledge base, inference engine, knowledge administration interface, user interface, knowledge administration unit and integrated database. The expert system employs heuristic rules to diagnose the hydro turbine fault. Some issues on developing Web-based expert systems are also discussed.

Web-based expert systems: benefits and challenges

Convergence of technologies in the Internet and the field of expert systems have offered new ways of sharing and distributing knowledge. However, there has been a general lack of research in the area of web-based expert systems (ES). This paper addresses the issues associated with the design, development, and use of web-based ES from a standpoint of the benefits and challenges of developing and using them. The original theory and concepts in conventional ES were reviewed and a knowledge engineering framework for developing them was revisited. The study considered three web-based ES: WITS-advisor — for e-business strategy development, Fish-Expert — for fish disease diagnosis, and IMIS — to promote intelligent interviews. The benefits and challenges in developing and using ES are discussed by comparing them with traditional standalone systems from development and application perspectives.

Fish-Expert: a web-based expert system for fish disease diagnosis

Fish disease diagnosis is a complicated process and requires high level of expertise. Any attempt of developing a web-based system dealing with disease diagnosis has to overcome various difficulties. This paper describes a Chinese National Funded Research Project (863 project) aiming to develop a web-based intelligent diagnosis system for fish diseases. The paper explains the need for a web-based expert system, the fish diagnosis process and the difficulties involved in developing the system. The system structure and its components, such as database, knowledge base and image base and their functions are described. The system has over 300 rules and 400 images and graphics for different types of diseases and symptoms. It can diagnose 126 types of diseases amongst nine species of primary freshwater fishes. The system has been tested and is now in pilot use by fish farmers in the North China region. Some issues on developing web-based expert systems from the experience gained from the research are discussed.