Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7823
Title: Development of a Medical Expert System for Hypertensive Patients Diagnosis: A Knowledge-Based Rules
Authors: Jibril, I. Z.
Agajo, J.
Ajao, L. A.
Kolo, J. G.
Inalegwu, O. C.
Keywords: Ailment
Expert system
Hospital
Hypertensive
Intelligence system
Smart system
Issue Date: 2018
Publisher: Advances in Electrical and Telecommunication Engineering Journal. Publisher: Department of Electrical & Electronics Engineering, Ambrose Alli University, Nigeria.
Citation: Jibril, I. Z., Agajo, J., Ajao, L. A., Kolo, J. G. & Inalegwu, O. C. (2018), Development of a Medical Expert System for Hypertensive Patients Diagnosis: A Knowledge-Based Rules, Advances in Electrical and Telecommunication Engineering Journal, 1 (2018), 23-29.
Series/Report no.: Vol. 1;
Abstract: Early detection of ailment or diseases in human has called for smart intelligence system healthcare development. Some of the major problems that both populated and less populated countries are facing is the difficulties in early ailment detection and treatment of ill health people. This is due to minimal number of medical expertise and resources available in various hospitals which leads to spending of huge affluence of their resources to meet those challenges, but still demanding for adequate medical services provisions. Therefore, this paper proposed a medical expert system for early detection of hypertensive patient, ailment diagnosis and characterization with medical advice based on decision-making. The developed medical expert system is proficient, accurate and avoid time-waste in patient diagnosis with adequate professional advice on the ailments.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7823
Appears in Collections:Electrical/Electronic Engineering



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