The K9ER system was designed to provide veterinary students the opportunity to learn and practice the diagnostic and treatment processes in an emergency room. It can be operated on any personal computer with Windows95 and later. This program was written in PROLOG and C++, and was developed in the LPA WIN-PROLOG programming environment. K9ER was developed based on the integration of an expert sy...

The mental illness diagnostic expert system is designed to help or assist the psychology doctors to diagnosing the various mental disorders related to human. This expert system can be used to perform some evaluation of patient’s physical and emotional symptoms to diagnose the particular disorder. This expert system handles the various types of pathologies that more often appear as Anxiety disor...

This paper outlines the development of a knowledgebased expert system for diagnosing machine tool failures. The complexity of machine tool failures and the trouble shooting procedures are deployed. The diagnostic knowledge is acquired from analysis of the troubleshooting and repair reports as well as from interviews with diagnosis engineers. The knowledge base is built using the object oriented...

In the present paper, we propose a soft computing diagnostic system for detecting different phases of diabetes. The proposed system is user friendly and will guide patients to evolve proper strategies so that they could maintain their blood sugar level by adopting suitable life style. The proposed system not only acts as a referral system in between patient and medical expert but also sharpen t...

Most expert system designers suffer from knowledge acquisition complications. Expert system shells contain facilities that can simplify knowledge acquisition to make domain experts themselves responsible for knowledge structuring and encoding. The aim of this research is to develop an Arabic Expert System Shell (AESS) for diagnosing diseases based on natural language. The suggested AESS mainly ...

fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. in this paper, a fuzzy inference system (fis) for diagnosing of acute lymphocytic leukemia in children has been introduced. the fuzzy expert system applies mamdani reasoning model that has high interpretability to explain system results to e...

A diagnostic structure based on modular expert system architecture is presented in this paper. An illustrative example shows how expert knowledge is used to deduce fault situations. In this example, qualitative representation of numerical variables of process is used to interface expert knowledge and process variables. The goal is to use this new information to deduce abnormal situations that c...

In the domain of manual mechanical assembly, expert knowledge is an important means of supporting assembly planning that leads to fewer issues during actual assembly. Knowledge based systems can be used to provide assembly planners with expert knowledge as advice. However, acquisition of knowledge remains a difficult task to automate, while manual acquisition is tedious, time-consuming, and req...

Reasoning under uncertainty in AI has come to mean assessing the credibility of hypotheses inferred from evidence. But techniques for assessing credibility do not tell a problem solver what to do when it is uncertain. This is the focus of our current research. We have developed a medical expert system called MUM, for Managing Uncertainty in Medicine, that plans diagnostic sequences of questions...

We present an evaluation of the diagnostic accuracy of Pathfinder, an expert system that assists pathologists with the diagnosis of lymph node diseases. We evaluate two versions of the system using both informal and decision-theoretic metrics of performance. In one version of Pathfinder, we assume incorrectly that all observations are conditionally independent. In the other version, we use a be...