The Comparison of SVM and ANN Classifier for COVID-19 Prediction
Coronavirus 2 (SARS-CoV-2) is the cause of an acute respiratory infectious disease that can cause death, popularly known as Covid-19. Several methods have been used to detect COVID-19-positive patients, such as rapid antigen and PCR. Another method as an alternative to confirming a positive patient...
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Format: | Article |
Language: | English |
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Udayana University, Institute for Research and Community Services
2022-08-01
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Series: | Lontar Komputer |
Online Access: | https://ojs.unud.ac.id/index.php/lontar/article/view/79732 |
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author | Ditha Nurcahya Avianty Prof. I Gede Pasek Suta Wijaya Fitri Bimantoro |
author_facet | Ditha Nurcahya Avianty Prof. I Gede Pasek Suta Wijaya Fitri Bimantoro |
author_sort | Ditha Nurcahya Avianty |
collection | DOAJ |
description | Coronavirus 2 (SARS-CoV-2) is the cause of an acute respiratory infectious disease that can cause death, popularly known as Covid-19. Several methods have been used to detect COVID-19-positive patients, such as rapid antigen and PCR. Another method as an alternative to confirming a positive patient for COVID-19 is through a lung examination using a chest X-ray image. Our previous research used the ANN method to distinguish COVID-19 suspect, pneumonia, or expected by using a Haar filter on Discrete Wavelet Transform (DWT) combined with seven Hu Moment Invariants. This work adopted the ANN method's feature sets for the Support Vector Machine (SVM), which aim to find the best SVM model appropriate for DWT and Hu moment-based features. Both approaches demonstrate promising results, but the SVM approach has slightly better results. The SVM's performances improve accuracy to 87.84% compared to the ANN approach with 86% accuracy. |
first_indexed | 2024-04-13T17:04:14Z |
format | Article |
id | doaj.art-6900c75d8e1845988046ad4e64c19378 |
institution | Directory Open Access Journal |
issn | 2088-1541 2541-5832 |
language | English |
last_indexed | 2024-04-13T17:04:14Z |
publishDate | 2022-08-01 |
publisher | Udayana University, Institute for Research and Community Services |
record_format | Article |
series | Lontar Komputer |
spelling | doaj.art-6900c75d8e1845988046ad4e64c193782022-12-22T02:38:32ZengUdayana University, Institute for Research and Community ServicesLontar Komputer2088-15412541-58322022-08-0113212813610.24843/LKJITI.2022.v13.i02.p0679732The Comparison of SVM and ANN Classifier for COVID-19 PredictionDitha Nurcahya AviantyProf. I Gede Pasek Suta WijayaFitri BimantoroCoronavirus 2 (SARS-CoV-2) is the cause of an acute respiratory infectious disease that can cause death, popularly known as Covid-19. Several methods have been used to detect COVID-19-positive patients, such as rapid antigen and PCR. Another method as an alternative to confirming a positive patient for COVID-19 is through a lung examination using a chest X-ray image. Our previous research used the ANN method to distinguish COVID-19 suspect, pneumonia, or expected by using a Haar filter on Discrete Wavelet Transform (DWT) combined with seven Hu Moment Invariants. This work adopted the ANN method's feature sets for the Support Vector Machine (SVM), which aim to find the best SVM model appropriate for DWT and Hu moment-based features. Both approaches demonstrate promising results, but the SVM approach has slightly better results. The SVM's performances improve accuracy to 87.84% compared to the ANN approach with 86% accuracy.https://ojs.unud.ac.id/index.php/lontar/article/view/79732 |
spellingShingle | Ditha Nurcahya Avianty Prof. I Gede Pasek Suta Wijaya Fitri Bimantoro The Comparison of SVM and ANN Classifier for COVID-19 Prediction Lontar Komputer |
title | The Comparison of SVM and ANN Classifier for COVID-19 Prediction |
title_full | The Comparison of SVM and ANN Classifier for COVID-19 Prediction |
title_fullStr | The Comparison of SVM and ANN Classifier for COVID-19 Prediction |
title_full_unstemmed | The Comparison of SVM and ANN Classifier for COVID-19 Prediction |
title_short | The Comparison of SVM and ANN Classifier for COVID-19 Prediction |
title_sort | comparison of svm and ann classifier for covid 19 prediction |
url | https://ojs.unud.ac.id/index.php/lontar/article/view/79732 |
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