Expert System in Telemedicine for the Diagnosis of Corona Virus in Nigeria

Kyado J. Doris, Ayua Samuel Iorhemen, Nnamani U. B. and Prof. E.J Garba
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Kyado J. Doris: Department of Mathematical (Computer Science), Taraba State University, Jalingo, Nigeria
Ayua Samuel Iorhemen: Department of Mathematical (Computer Science), Taraba State University, Jalingo, Nigeria
Nnamani U. B.: Department of Mathematical (Computer Science), Taraba State University, Jalingo, Nigeria
Prof. E.J Garba: Computer Science, Modibbo Adama University, Adamawa, Nigeria

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 5, 465-473

Abstract: In calamitous situations such as Covid-19, patients’ healthcare including medical diagnoses and emergency services are challenged by the risk of infection and by limitations of healthcare resources in developing countries like Nigeria. Couple with the large population and unequal distribution of healthcare resources including physicians and limited healthcare facilities, which has been one of the main factors hampering Nigeria’s response to the COVID-19 crisis. A Covid-19 Self Diagnosis system (CSDS) is designed to provide tools for overcoming the unequal distribution of medical laboratories/ equipment at Covid-19 diagnosis centers in both rural and urban areas in Nigeria. (CSDS) is an expert system that is used for Covid19 diagnoses. The system determine if an end-user is infected with Covid-19 by accepting Covid19- symptoms from the user. An expert system components framework was designed from which the signs and symptoms of Covid 19 Virus were collected into the knowledge base. The Covid 19 Self Diagnoses Model was also designed with the various users’ interfaces. The signs and symptoms of Covid 19 were collected through interview into the knowledge base using Mysql database. Like other expert.

Date: 2024
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