Diagnosis of respiratory system diseases using expert system technique
Dissertant
Thesis advisor
University
Omdurman Islamic University
Faculty
Faculty of Sciences and Technology
Department
Department of Computer Sciences
University Country
Sudan
Degree
Master
Degree Date
2005
English Abstract
-The objective of this research is to discuss expert system as the application of artificial intelligence (AI) in medical diagnosis. This system is able to propose diagnosis based on patient's given symptoms, sign and test results-if possible - to prove or exclude them.
The systems explains the diseases by entering the attributes and receive the entire information associate with it.
The testing gives good results and high performance, the fact by which we can judge that the system can be used in diagnosing respiratory system diseases. Finally, the knowledge and rules of respiratory diseases with testing sample of prototype system by symptoms where listed and their result were obtained.
Main Subjects
Topics
No. of Pages
67
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Respiratory system diseases.
Chapter Three : Expert systems technology.
Chapter Four : Formalization stage.
Chapter Five : Modeling and simulation results.
Chapter Six : Conclusion and recommendations.
References.
American Psychological Association (APA)
Sad al-Din, Ashraf Muhammad. (2005). Diagnosis of respiratory system diseases using expert system technique. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364044
Modern Language Association (MLA)
Sad al-Din, Ashraf Muhammad. Diagnosis of respiratory system diseases using expert system technique. (Master's theses Theses and Dissertations Master). Omdurman Islamic University. (2005).
https://search.emarefa.net/detail/BIM-364044
American Medical Association (AMA)
Sad al-Din, Ashraf Muhammad. (2005). Diagnosis of respiratory system diseases using expert system technique. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364044
Language
English
Data Type
Arab Theses
Record ID
BIM-364044
