Construction and Implementation of an Expert System for Medical Diagnosis Based on Blood Test
Article Sidebar
Main Article Content
Abstract
The recent developments in the field of artificial intelligence to the emergence of expert systems, and computational tools designed to capture and access to knowledge from experts in the medical field. We have built an expert system for the purpose of giving the diagnosis of some diseases by linking this system devise testing and analysis of blood type (CELL-DYN Ruby) and which has a private entrance to the computer. The system is divided into several modules, History Entering Module (HEM) systematic Review Module (SRM), a Laboratory Test List Module, Diagnosis Process Module (DPM), Data Base (DB), and finally the graphical interface to the user.
All these modules work together to give a high degree of accuracy in the diagnosis of disease through blood samples and we will describe the work of each unit in detail.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Tikrit Journal of Pure Science is licensed under the Creative Commons Attribution 4.0 International License, which allows users to copy, create extracts, abstracts, and new works from the article, alter and revise the article, and make commercial use of the article (including reuse and/or resale of the article by commercial entities), provided the user gives appropriate credit (with a link to the formal publication through the relevant DOI), provides a link to the license, indicates if changes were made, and the licensor is not represented as endorsing the use made of the work. The authors hold the copyright for their published work on the Tikrit J. Pure Sci. website, while Tikrit J. Pure Sci. is responsible for appreciate citation of their work, which is released under CC-BY-4.0, enabling the unrestricted use, distribution, and reproduction of an article in any medium, provided that the original work is properly cited.
References
[1] Patterson, D.W.(1998). "introduction to Artificial intelligence & expert system", New Delhi: prentice-Hall.
[2] Heizer, (1996) "Production and Operations Management", New Jersey: prentice-Hall .
[3] Charles C.C. and Okafor E.C.(2010), "Framework for eliciting knowledge for a medical laboratory diagnostic expert system", ELSEVIER, Expert Systems with Applications 37 (2010) 5009–5016.
[4] Jonathan J. Ross, Mouloud A. Denaı, Mahdi Mahfouf, (2009), "A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part II. Clinical implementation and evaluation", ELSEVIER, Artificial Intelligence in Medicine 45(1):53—62
[5] Forsyth R.(1989) "Expert systems, principles and case studies”, London: Chapman.
[6] Frenzel, L.E.(1987) ”Crash Course in Artificial intelligence & expert systems”, United States of America: First edition.
[7] Luger G.F., (2009) "Artificial intelligence", London: Addison Wesely .
[8] Kusick, (1990). ”Intelligent Manufacturing System”.
[9] Bratko I. (2011), ”Prolog Programming For Artificial Intelligence”, Tech.LIB, 1986.
[10] Marcellus (1989), "Expert system and advanced data processing”, Prentice-Hall.