Indonesian Journal of Artificial Intelligence and Data Mining
Vol 4, No 2 (2021): September 2021

A Testing of Case-Base Reasoning for Covid-19 Patient Status Confirmation

Salamun Salamun (Universitas Abdurrab)
Diki Arisandi (Universitas Abdurrab)
Luluk Elvitaria (Universitas Abdurrab)
Liza Trisnawati (Universitas Abdurrab)

Article Info

Publish Date
20 Nov 2021


Currently, the world is facing a global pandemic that attacks all countries. In Indonesia, there are three types of status for suspected patients: asymptomatic person, Person Under Supervision, and Patient Under Supervision. The statuses are issued by a paramedic, conducting medical examinations or direct interviews with patients with several criteria. We conducted several non-medical experiments to assist medical personnel in determining the asymptomatic. We exploit the case-based reasoning (CBR) for determining the suspected patients, and the K-NN (K-Nearest Neighbor) for data grouping based on the level of similarity. The patients will be interviewed regarding their travel history, direct contact history, health status, and some other information for the past 14 days. This combination delivers the information of the similarity level from the given data and previous data. As a conclusion, the percentage level of similarity can be used by a medical officer to issue the status of patients and giving several recommendations to follow health protocols.

Copyrights © 2021

Journal Info





Computer Science & IT


Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...