Journal of Biomedical Science and Bioengineering
Vol 2, No 1 (2022)

The Performance Comparison of Machine Learning Models for COVID-19 Classification Based on Chest X-ray

Elvira Sukma Wahyuni (Universitas Islam Indonesia)

Article Info

Publish Date
27 Jul 2022

Abstract

COVID-19 has become a pandemic spread to nearly all countries in the world. This virus has caused many deaths. Screening using a chest X-ray is an alternative to find out positive COVID-19 patients. Chest X-ray is advantageous because every hospital must have an X-ray device so that hospitals do not need additional equipment to detect COVID-19-positive patients. This study aims to compare the machine learning models of Naive Bayes, Decision Tree, K-Nearest Neighbor, and Logistic Regression to predict COVID-19 positive patients. The stages of the research carried out by this study are the Pre-process stage, feature extraction, and classification. The results showed that the Naïve Bayes classification method got the highest performance with an accuracy of 95.24%.

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Journal Info
Journal of Biomedical Science and Bioengineering
Website

Abbrev

jbiomes

Publisher

Universitas Diponegoro

Subject

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering

Description

This journal has the scope of all aspects of biomedical science and bioengineering. Its scope also covers medical sciences, signal processing, biomaterial, medical diagnostic tools, ergonomy as well as all related ...