Abstract
References
- Durkin j. destems: Design and development.new York:prentice hall;1994
- Edward A, feigenbaum BG, Buchanan D, Meta D. roots of knowledge Systems and Expert System Application.Atrif intell 1933;59(1-2);233-40.
- Shorrtliffe EH. Computer-based medical Consultations: MYCIN.New York:1976.
- Siyadat M, soltaniyzadeh H. Hippocampus location in the human brine in MRI process by expert systems. Joprnal of Engineering Faculty of Tehran University;2001;341:9- 23[Persian]
- Ghazanfari M, Kazemi Z. Expert Systems, Tehran:Elmo Sanat;2004.[persian]
- M. Toth-Tascau, D.I. Stoia, D. Andrei,( 2012), “Integrated Methodology for a Future Expert System used in Low Back Pain Management”, 7th IEEE International Symposium on Applied Computational Intelligence and Informatics, Timisoara, Romania
- Folorunso, I. O, Abikoye, O. C, Jimoh, R. G,Raji, K.S, (2012 ),“A Rule-Based Expert System for Mineral Identification”, Journal of Emerging Trends in Computing and Information Sciences
- Claudio Urrea, Gloria Henríquez, Marcela Jamett,( 2014), “Development of an expert system to select materials for the main structure of a transfer crane designed for disabled people”, Elsevier
Design of a Knowledge-based Expert System as Physician’s Assistant in Diagnosis of Heart Diseases through ECG Image Processing
Abstract
Abstract. Diagnosis is the most important step in the treatment of diseases. In the diagnosis of heart diseases which have a complex structure and for which there is no specific algorithm, the use of expert systesms1 is the best solution. The present study introduces a knowledge-based expert system for diagnosing tachycardia, as a heart disease, based on image processing of electrocardiograms as well as the results of physical examination and experiments. Beckman feasibility test was conducted for the system. The database of this system is rule-based and is devised in such a way that uses a faultless inference engine which yields to future developments. The inference engine of the system employs forward chaining and works on the basis of deductive and inductive inference. Cost reduction, synthetic knowledge and greater availability are among the advantages of this system.
References
- Durkin j. destems: Design and development.new York:prentice hall;1994
- Edward A, feigenbaum BG, Buchanan D, Meta D. roots of knowledge Systems and Expert System Application.Atrif intell 1933;59(1-2);233-40.
- Shorrtliffe EH. Computer-based medical Consultations: MYCIN.New York:1976.
- Siyadat M, soltaniyzadeh H. Hippocampus location in the human brine in MRI process by expert systems. Joprnal of Engineering Faculty of Tehran University;2001;341:9- 23[Persian]
- Ghazanfari M, Kazemi Z. Expert Systems, Tehran:Elmo Sanat;2004.[persian]
- M. Toth-Tascau, D.I. Stoia, D. Andrei,( 2012), “Integrated Methodology for a Future Expert System used in Low Back Pain Management”, 7th IEEE International Symposium on Applied Computational Intelligence and Informatics, Timisoara, Romania
- Folorunso, I. O, Abikoye, O. C, Jimoh, R. G,Raji, K.S, (2012 ),“A Rule-Based Expert System for Mineral Identification”, Journal of Emerging Trends in Computing and Information Sciences
- Claudio Urrea, Gloria Henríquez, Marcela Jamett,( 2014), “Development of an expert system to select materials for the main structure of a transfer crane designed for disabled people”, Elsevier
Details
| Journal Section | Special |
|---|---|
| Authors | |
| Publication Date | May 13, 2015 |
| Published in Issue | Year 2015 Volume: 36 Issue: 3 |