Search results for "expert system"
showing 5 items of 85 documents
A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease
2003
Therapies to slow down the progression of Alzheimer’s disease are most effective when applied in its initial stages. Therefore it is important to develop methods to diagnose the disease as early as possible. It is also desirable to establish standards which can be used generally by physicians who may not be experts in diagnosis of the disease. One possible method to obtain an early diagnosis is the evaluation of the glucose metabolism of the brain. In this paper we present a prototype of an expert system that automatically diagnoses Alzheimer’s disease on the basis of positron emission tomography images displaying the metabolic activity in the brain.
Computer-assisted interpretation of flow cytometry data in hematology.
1996
A computer program has been developed for computer-assisted diagnosis (including subclassification) of flow cytometry data of acute leukaemias and non-Hodgkin lymphomas by means of artificial intelligence. The knowledge base for the system has been formulatedas semantic networks that describe physiological hematopoiesisas well as the pathological situation (eg., aberrant antigen expression) of hematological disorders. The semantic networks reflect the hierarchy of cells and their occurrence in diseases, the normal and pathological antigen expression patterns of cells, cell maturation, and the frequency of cell populations in normal blood and bone marrow. Using these semantic networks, the d…
Development of a fuzzy expert system for the control of glycemia in type 1 diabetic patients
2011
Abstract The paper describes the structure and the characteristics of an expert system that allows the optimization of postprandial glycemia in type 1 diabetic patients. The expert system is able to provide patients with the number of rapid insulin units that must be taken in order to keep the blood glucose level close to the omeostatic condition in the hours following a meal.
Chronic obstructive lung disease “expert system”: validation of a predictive tool for assisting diagnosis
2018
Fulvio Braido,1 Pierachille Santus,2 Angelo Guido Corsico,3 Fabiano Di Marco,4 Giovanni Melioli,5 Nicola Scichilone,6 Paolo Solidoro7 1Department of Internal Medicine, IRCCS San Martino di Genova University Hospital, Genoa, Italy; 2Department of Biomedical and Clinical Sciences, University of Milan, Division of Respiratory Diseases, “L. Sacco” University Hospital, ASST Fatebenefratelli-Sacco, Milan, Italy; 3Department of Internal Medicine and Therapeutics, Division of Respiratory Diseases, IRCCS Policlinico San Matteo Foundation, University of Pavia, Italy; 4Department of Health Sciences, University of Milan, San Paolo Hospital, Milan, Italy; 5Center for Precision Medici…
Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules
2020
Many real life problems can be modelled as multiobjective optimization problems. Such problems often consist of multiple conflicting objectives to be optimized simultaneously. Multiple optimal solutions exist to these problems, and a single solution cannot be said to be the best without preferences given by a domain expert. Preferences can be used to find satisfying solutions: optimal solutions, which best match the expert’s preferences. To model the preferences of the expert, and aid him/her in finding satisfying solutions, a novel method is proposed. The method utilizes machine learning combined with belief-rule based systems to adaptively train a belief rule based system to learn a domai…