The present study assessed the impact of computerised spirometry interpretation expert support on the diagnostic achievements of general practitioners (GPs), and on GPs' decision making in diagnosing chronic respiratory disease. A cluster-randomised controlled trial was performed in 78 GPs who each completed 10 standardised paper case descriptions. Intervention consisted of support for GPs' spi...

The present study assessed the impact of computerised spirometry interpretation expert support on the diagnostic achievements of general practitioners (GPs), and on GPs’ decision making in diagnosing chronic respiratory disease. A cluster-randomised controlled trial was performed in 78 GPs who each completed 10 standardised paper case descriptions. Intervention consisted of support for GPs’ spi...

The main thrust of this research is the development of an artificial intelligence (AI) system to be used as an operators' aid in the diagnosis of faults in large-scale chemical process plants. The operator advisory system involves the integration of two fundamentally different AI techniques: expert systems and neural networks. A diagnostic strategy based on the hierarchical use of neural networ...

This work explored the potentials of information technology to develop a Medical Diagnostic Expert System (AUTOMEDES), which can be used, by qualified medical personnel or even unqualified medical personnel in the absence of qualified ones, without endangering human life. The researchers adopted the Structured System Analysis and Design Method (SSADM) and the Expert System Methodology to develo...

In this paper the preconditions for the the development of multifunctional diagnostic expert system are given.

An important research enterprise for the Artificial Intelligence community since the 1970s has been the design of expert or “knowledge-based” systems. These programs used explicitly encoded human knowledge, often in the form of a production rule system, to solve problems in the areas of diagnostics and prognostics. The earliest research/development program in expert systems was created by Profe...

The process of the acquisition of an agreed, shared task model as a means to structure interaction between expert users and knowledge engineers is described. The role existing (generic) task models play in this process is illustrated for two domains of application, both domains requiring diagnostic reasoning. In both domains different levels of interaction between an expert user and a diagnosti...