Designing medical expert system based on logical reduced rule for basic malaria diagnosis from malaria signs and symptoms

Basit Öğe Kaydı
dc.authorid0000-0001-9905-2908en_US
dc.contributor.authorSelek, Murat
dc.contributor.authorBasçiftçi, Fatih
dc.contributor.authorÖrücü, Serkan
dc.date.accessioned2019-12-06T21:16:09Z
dc.date.available2019-12-06T21:16:09Z
dc.date.issued2017
dc.departmentKMÜ, Ermenek Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümüen_US
dc.descriptionWOS:000404865100008en_US
dc.description.abstractPurpose - Malaria is one of the most sinister life-threatening disease and generally transmitted by the bite of an Anopheles mosquito which was infected. These mosquitoes carry the Plasmodium parasite. Worldwide risk of malaria thread is very hard to deal, because of extreme temperature and climate changes which lead to uncontrolled changes in the mosquito population, as many deaths from malaria occur outside the healthcare system and other infections might be misdiagnosed as malaria unless a diagnostic test is done. The purpose of this study is creating a system which is early diagnosing malaria for settlements adequate healthcare units and non-immune travellers. Design/methodology/approach - In this study's system, the authors developed a new medical expert system (MES) process using the decreased rule base to detect malaria. The authors' purpose was to successfully identify the illness by taking all symptoms of malaria into consideration in the MES (six basic signs, 64 different conditions). In the proposed MES process, in place of inspecting all the malaria-related signs, the authors used the decreased rule bases. Findings - So as to take the lessen decreased bases, Boolean functions are used in a two-level simplification method. Using this method, decreased cases were evaluated by taking six symptoms of malaria into account instead of assessing 64 individual conditions. Research limitations/implications - The system can be used in diagnosis of asthma and chronic obstructive respiratory disease. Practical implications - The system can be used in absence of adequate healthcare units. Thus, malaria can be diagnosed early. Originality/value - The authors hope that the system they have developed will be useful for settlements in the absence of adequate healthcare units and non-immune travellers.en_US
dc.description.sponsorshipSelcuk University, Konya, Karaman, TurkeySelcuk University; Karamanoglu Mehmetbey University, Konya, Karaman, TurkeyKaramanoglu Mehmetbey Universityen_US
dc.description.sponsorshipThis work is supported by Selcuk and Karamanoglu Mehmetbey Universities Scientific Research Projects Coordinatorships, Konya, Karaman, Turkey.en_US
dc.identifier.citationSelek, M., Başçiftçi, F., & Örücü, S. (2017). Designing medical expert system based on logical reduced rule for basic malaria diagnosis from malaria signs and symptoms. World Journal of Engineering, 14, 3, 227-230.
dc.identifier.doi10.1108/WJE-10-2016-0112
dc.identifier.endpage230en_US
dc.identifier.issn1708-5284
dc.identifier.issue3en_US
dc.identifier.scopusscopusidyok
dc.identifier.startpage227en_US
dc.identifier.urihttps://dx.doi.org/10.1108/WJE-10-2016-0112
dc.identifier.urihttps://hdl.handle.net/11492/2829
dc.identifier.volume14en_US
dc.identifier.wosWOS:000404865100008
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorÖrücü, Serkan
dc.language.isoen
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.journalWorld Journal Of Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMalariaen_US
dc.subjectBoolean Function Minimizationen_US
dc.subjectMedical Expert Systemen_US
dc.subjectReduced Rule Baseen_US
dc.subjectSymptoms Of Malariaen_US
dc.titleDesigning medical expert system based on logical reduced rule for basic malaria diagnosis from malaria signs and symptomsen_US
dc.typeArticle

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