Journal of Intelligent Computing and Health Informatics (JICHI)
Vol 1, No 2 (2020): September

Android Based Expert System Application for Diagnose COVID-19 Disease: Cases Study of Banyumas Regency

Hakim, Rosyid Ridlo Al (Unknown)
Rusdi, Erfan (Unknown)
Setiawan, Muhammad Akbar (Unknown)



Article Info

Publish Date
30 Sep 2020

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 OS

Copyrights © 2020






Journal Info

Abbrev

ICHI

Publisher

Subject

Computer Science & IT Dentistry Electrical & Electronics Engineering Medicine & Pharmacology Public Health

Description

Journal of Intelligent Computing & Health Informatics (JICHI) was printed in March 2020. JICHI is a scientific review journal publishing that focus on exchanging information relating to intelligent computing and health informatics applied in industry, hospitals, government, and universities. All ...