Android Based Expert System Application for Diagnose COVID-19 Disease: Cases Study of Banyumas Regency
Open Access
- 30 September 2020
- journal article
- Published by LPPM Universitas Muhammadiyah Semarang in Journal of Intelligent Computing and Health Informatics
- Vol. 1 (2), 26-38
- https://doi.org/10.26714/jichi.v1i2.5958
Abstract
Since being confirmed by WHO, the status of COVID-19 outbreak has become a global pandemic, the number of cases has been confirmed positive, cured, and even death worldwide. Artificial intelligence in the medical has given rise to expert systems that can replace the role of experts (doctors). Tools to detect someone affected by COVID-19 have not been widely applied in all regions. Banyumas Regency, Indonesia is included confirmed region of COVID-19 cases, and it’s difficult for someone to know the symptoms that are felt whether these symptoms include indications of someone ODP, PDP, positive, or negative COVID-19, and still at least a referral hospital handling COVID-19. Expert system with certainty factor can help someone make a self-diagnose whether including ODP, PDP, positive, or negative COVID-19. This expert system provides ODP diagnostic results with a confidence level of 99.96%, PDP 99.99790%, positive 99.9999997%, negative 99.760384%, and the application runs well on Android OSKeywords
This publication has 14 references indexed in Scilit:
- Defining the Epidemiology of Covid-19 — Studies NeededThe New England Journal of Medicine, 2020
- Importation and Human-to-Human Transmission of a Novel Coronavirus in VietnamThe New England Journal of Medicine, 2020
- Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020Eurosurveillance, 2020
- Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor bindingThe Lancet, 2020
- Android-based expert system design for drug selection using certainty factorJournal of Physics: Conference Series, 2019
- Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on AndroidJournal of Physics: Conference Series, 2019
- Expert System With Certainty Factor For Early Diagnosis Of Red Chili Peppers DiseasesJournal of Applied Intelligent System, 2018
- Certainty Factor Method for Neurological Disease Diagnosis Based on SymptomsPublished by European Alliance for Innovation n.o. ,2018
- Performance analysis of classification algorithms on early detection of liver diseaseExpert Systems with Applications, 2017
- Characterization of a Novel Coronavirus Associated with Severe Acute Respiratory SyndromeScience, 2003