A rule based expert system to assess pacing indication

A Belief Rule Based Expert System to Assess Autism under Uncertainty

Autism is one of the most common neurological disorders found in children, resulting disabilities, which continue until adulthood. The accurate assessment of autism is considered as a challenging clinical decision making problem because of the presence of various types of uncertainties that exist with its factors such as social interaction, communication and behavior. These factors cannot be me...

A Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer

Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...

Converting a rule-based expert system into a belief network.

The theory of belief networks offers a relatively new approach for dealing with uncertain information in knowledge-based (expert) systems. In contrast with the heuristic techniques for reasoning with uncertainty employed in many rule-based expert systems, the theory of belief networks is mathematically sound, based on techniques from probability theory. It therefore seems attractive to convert ...

Converting a Rule-based Expert System into a Belief Network

A Rule - based Expert System for ECG Analysis

194 Abstract—This paper presents the development of a rule-based expert system that emulates the ECG interpretation skills of an expert cardiologist. The knowledge of an expert is confined to him and is not freely available for decision-making. An expert system is developed to overcome this problem. In this rule-based expert system, patient’s heart rate and the wave characteristics of the ECG a...