Please use this identifier to cite or link to this item: http://repository.ush.edu.sd:8080/xmlui/handle/123456789/526
Title: Expert system for diagnosing and prescribing the treatment for three of the heart diseases (myocardial infarction, angina and rheumatic fever)
Authors: Bushara, Nazim Osman
Keywords: Heart diseases
Diagnosis
expert system
System
Issue Date: Dec-2018
Publisher: Shendi University of Applied Science
Series/Report no.: issue(1);2018, 50-62
Abstract: This paper studies an essential topic in artificial intelligence that deals with the process of diagnosing and prescribing the medication for three heart diseases, namely myocardial infarction, angina and rheumatic fever, using expert system technique. The proposed expert system will assist beginner physicians in detecting and describing treatment for the disease, beside, reducing the time for a correct diagnosis and diagnostic errors. This technique has been designed using visual basic programming language and SQL for the database, and has tested in the Sudan’s Center for the Heart Diseases and its experimental results showed that this system did quite better than non-expert physicians and about 57% as a well as the expert did. Keywords: Heart diseases, diagnosis, expert system.
Description: This paper studies an essential topic in artificial intelligence that deals with the process of diagnosing and prescribing the medication for three heart diseases, namely myocardial infarction, angina and rheumatic fever, using expert system technique. The proposed expert system will assist beginner physicians in detecting and describing treatment for the disease, beside, reducing the time for a correct diagnosis and diagnostic errors. This technique has been designed using visual basic programming language and SQL for the database, and has tested in the Sudan’s Center for the Heart Diseases and its experimental results showed that this system did quite better than non-expert physicians and about 57% as a well as the expert did. Keywords: Heart diseases, diagnosis, expert system.
URI: http://hdl.handle.net/123456789/526
ISSN: 1858-9022
Appears in Collections:العدد الأول ISSUE (1)

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