IJISTECH (International Journal Of Information System & Technology)
Vol 5, No 1 (2021): June

Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient

Murien Nugraheni (Information System and Technology, State University of Jakarta, Jakarta, Indonesia)



Article Info

Publish Date
30 Jun 2021

Abstract

Coronavirus Disease 2019 or known as COVID-19 is a new disease that can cause respiratory problems and pneumonia. This disease is caused by infection with Severe Acute Respiratory Syndrome Me Coronavirus 2 (SARS-CoV-2). Some of the clinical symptoms that appear vary, ranging from symptoms such as influenza, cough, cold, throat pain, muscle aches, headaches to those with serious complications such as pneumonia or sepsis. This research to build case-based reasoning for early detection of COVID-19 by looking at the characteristics of clinical symptoms seen in a person using the Extended Jaccard Coefficient method. The results show case-based reasoning for early detection of COVID-19 using the Extended Jaccard Coefficient method can model the level of similarity of a new case to an old case.

Copyrights © 2021






Journal Info

Abbrev

ijistech

Publisher

Subject

Computer Science & IT

Description

IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering ...