Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/11697
Full metadata record
DC FieldValueLanguage
dc.contributor.authorENESI FEMI, AMINU-
dc.contributor.authorABIODUN, AHEMD A.-
dc.contributor.authorISAH OMEIZA, RABIU-
dc.contributor.authorANDA, ILYASU-
dc.contributor.authorISAH, A. O-
dc.contributor.authorHUSSAINI, ABUBAKAR Z.-
dc.date.accessioned2021-07-26T14:41:47Z-
dc.date.available2021-07-26T14:41:47Z-
dc.date.issued2018-06-02-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/11697-
dc.description.abstractAbstract 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 its casualties, yet the individuals who survive it in early stages normally recoup and gain resistance to auxiliary assaults. One of the real difficulties in giving proper treatment is lack of fast and accurate diagnosis of the disease because of variety of symptoms related with the infection, which could be similar to other clinical conditions and makes it difficult 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 nationsen_US
dc.language.isoenen_US
dc.publisherJournal of Science, Technology, Mathematics and Education (JOSTMED)en_US
dc.subjectLassa fever, hemorrhagic fever, symptoms, fuzzy logic, diagnostic systemen_US
dc.titleA DIAGNOSIS SYSTEM FOR LASSA FEVER AND RELATED AILMENTS USING FUZZY LOGICen_US
dc.typeArticleen_US
Appears in Collections:Library Information Technology

Files in This Item:
File Description SizeFormat 
2018-A DIAGNOSIS SYSTEM FOR LASSA FEVER AND RELATED AILMENTS USING FUZZY LOGIC.pdfJournal paper579.84 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.