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A number of calculators that compute the risk of atherosclerosis has been developed and made available on the Internet. They all are based on computing weighted sum of risk factors. We propose instead to use more flexible rule-based approach to estimate this risk. The used rules were created using machine learning methods and further refined by domain expert. Using our rule-based expert system NEST,...
The objective of this work was to develop a rule-based expert system for recognition of single or overlapping cells. A local threshold was found automatically by gradient operations and then used for chain-code formation. The shape analysis was done on the chain code of cell edges. The curvature function was derived from the chain code. The rule-based expert system assisted in analyzing the curvature...
A rule-based expert system was developed to help health personnel working in crowded outpatient clinics in Egypt make rapid and accurate diagnosis. In this system, the medical knowledge of more than 300 major and minor common diseases is encoded in the form of production rules. These rules are invoked in groups according to one or more presenting symptoms, and diagnostic hypotheses are formulated...
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