Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1180
Title: A Diagnosis System for Lassa Fever and Related Ailments using Fuzzing Logic
Other Titles: N/A
Authors: Aminu, Enesi Femi
Abiodun, Ahmed Ajani
Isah, Omeiza Rabiu
Anda, Ilyasu
Isah, A. O.
Zubairu, Hussaini Abubakar
Keywords: : Lassa fever, hemorrhagic fever, symptoms, fuzzy logic, diagnostic system
Issue Date: 15-Jun-2018
Publisher: Department of Science Education, School of Science and Science Education, Federal University of Technology, Minna, Nigeria.
Citation: 12. Enesi Femi Aminu, Abiodun Ahmed Ajani, Isah Omeiza Rabiu, Ilyasu Anda, A. O. Isah & Hussaini Abubakar Zubairu (2018). A Diagnosis System for Lassa Fever and Related Ailments using Fuzzing Logic, Journal of Science, Technology, Mathematics and Education (JOSTMED), 14(2), 18-30.
Series/Report no.: 14;14(2), 18-30.
Abstract: Lassa fever is a pandemic hemorrhagic fever brought about by the lassa virus, a greatly destructive virus. This deadly disease kills 10% to half of the casualties, yet the individuals who survive it in early stage normally recoup and gain resistance to auxiliary assaults'. One of the real difficulty is giving proper treatment is lack of fast and accurate and proper diagnosis of the disease, because of variety of symptoms related with the infections, which could be similar to other clinical conditions and make it difficulty for early diagnosis of the disease. Thus, this research work developed a diagnosis system for Lassa fever and related ailments using fuzzy logic. The system was designed and implemented using MATLAB R2013a version. The new diagnosis system allows users to select symptoms from the symptoms interface page that display when the application is launched. Results of this project was tested and found to be efficient in handling Lassa fever diagnosis. It is therefore recommended that it should be adopted in hospitals and health care centres especially in developing Nations
Description: Article
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1180
ISSN: 0748 – 4710
Appears in Collections:Information and Media Technology

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