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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/1204
Title: | Medical Expert System for Diagnosis and Remedy for Infectious Diseases |
Other Titles: | N/A |
Authors: | Sani, Yahaya Mohammed Lawal, Ridwan Damilola Etuk, Stella Oluyemi Zubairu, Hussaini Abubakar Dogonyaro, Noel Moses |
Keywords: | Expert System, Infectious Diseases, Diagnosis and Remedy |
Issue Date: | 22-Mar-2021 |
Publisher: | Proceedings of the 2nd International Conference on ICT for National Development and Its Sustainability, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria |
Citation: | 19. , Nigeria- 2021. Pp. 50-60 20. Ilorin, Nigeria- 2021. Pp. 61-70. Yahaya Mohammed Sani, Lawal Ridwan Damilola, Stella Oluyemi Etuk, Hussaini Abubakar Zubairu, and Noel Moses Dogonyaro (2021). Medical Expert System for Diagnosis and Remedy for Infectious Diseases, Proceedings of the 2nd International Conference on ICT for National Development and Its Sustainability, Faculty of Communication and Information Sciences, |
Series/Report no.: | ;50-60 |
Abstract: | t Nowadays, medical applications, especially the diagnosis of diseases, are increasing because of their importance and effectiveness to detect diseases and classify and recommend a remedy for patients. Nigeria is facing the challenge of Doctors shortage and with limited or no presence in rural areas. This research presents the design and implementation of a Medical Expert System that aims to provide patients with a background for suitable diagnosis and remedy for the following viral infections (Measles, Chicken Pox, and Mumps); this is because the above listed viral infections exhibit almost the same symptoms with slight variation. The implemented system gives accurate diagnosis and remedy for the viral infections listed above |
Description: | Conference proceeding |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1204 |
Appears in Collections: | Information and Media Technology |
Files in This Item:
File | Description | Size | Format | |
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Ilorin_conference_Medical_Diagnosis.pdf | Conference proceeding | 882.16 kB | Adobe PDF | View/Open |
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