Diagnosing MERS-CoV using dempster-shafer method

نویسندگان

چکیده

<span lang="EN-US">MERS-CoV (Middle East Respiratory Syndrome-Coronavirus) is a respiratory syndrome disease caused by the coronavirus which attacks tract from mild to severe. MERS-CoV was first reported in Saudi Arabia; total cases of have continued increase. In Indonesia, enters through pilgrimage Hajj and Umrah. But not many people know about this its symptoms. For reason, an expert system developed diagnose using Dempster-Shafer method. The can detect symptoms inputted user. output value probability disease, level suggested. levels are Stage 1, 2, 3 where each has different treatment based on disease. contains information form videos text. built PHP programming language. testing result shows that all functionalities been fulfilled. validation had obtained at 76.7%, prove good enough diagnosing results questionnaire average 84.13% very helping users help before consulting with doctor.</span>MERS-CoV arespiratory therespiratory SaudiArabia; Indonesia,the notmany anexpert DempsterShafer symptomsinputted ofthe thedisease treatmentbased aboutMERS-CoV thePHP systemfunctionalities obtainedat MERSCoV of84.13% Theexpert doctor.<div> </div>

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ژورنال

عنوان ژورنال: International Journal of Informatics and Communication Technology

سال: 2021

ISSN: ['2722-2616', '2252-8776']

DOI: https://doi.org/10.11591/ijict.v10i1.pp19-26