The authors have previously described an approach for medical diagnostic reasoning based on the ST (Select and Test) model introduced by Ramoni and Stefanelli et al. This paper extends the previous approach by introducing the required algorithm for medical expert system development. The algorithm involves a bottom-up and recursive process using logical inferences, abduction, deduction, and indu...

AIM To develop an expert system model for the diagnosis of fine needle aspiration cytology (FNAC) of the breast. METHODS Knowledge and uncertainty were represented in the form of a Bayesian belief network which permitted the combination of diagnostic evidence in a cumulative manner and provided a final probability for the possible diagnostic outcomes. The network comprised 10 cytological feat...

OBJECTIVE AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases. METHODOLOGY AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Cr...

This paper shows the fuzzy analogical reasoning for medical diagnosis in modeling how an expert reasons. Normally this process involves imprecision and so, medical entities are modeled using fuzzy sets. The diagnostic for a patient is obtained by a syntactic similarity or the similarity grade to a previous case. It is shown the results of an expert system implementation in rheumatology Poster D...

An expert system for diagnosing faults in the power train of a twin-engine gas turbine helicopter has been developed. The system, designated HELIX (HELicopter Integrated expert), performs diagnostic reasoning based on a hierarchical qualitative model representing the major power train components and the physical principles that govern their interaction. The approach represents a promising techn...

Sucker-rod pumping system operating status fault diagnosis technology is closely related to the energy consumption, production per well and the cost of crude oil exploration. But the knowledge depiction of the expert diagnostic system is mainly based on the production rules, neural networks or object-oriented. As ontology has advantages in hierarchy and semantic relationships expressing, it is ...

Rule induction methods have been proposed in order to acquire knowledge automatically from databases. However, conventional approaches do not focus on the implementation of induced results into an expert system. In this paper, the author focuses not only on rule induction but also on its evaluation and presents a systematic approach from the former to the latter as follows. First, a rule induct...

introduction: studies have indicated a global high prevalence of hospital malnutrition on admission and during hospitalization. clinical nutritional risk screen (cnrs) is a way to identify malnutrition and manage nutritional interventions. several traditional and non-computer based tools have been suggested for screening nutritional risk levels. the present study was an attempt to employ a comp...