{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T05:53:59Z","timestamp":1778046839072,"version":"3.51.4"},"reference-count":13,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:p> From origin in Wuhan city of China, a highly communicable and deadly virus is spreading in the entire world and is known as COVID-19. COVID-19 is a new species of coronavirus which is affecting respiratory system of human. The virus is known as severe acute respiratory syndrome (SARS) coronavirus 2 abbreviated as SARS-CoV-2 and generally known as coronavirus disease COVID-19. This is growing day by day in countries. The symptoms include fever, cough and difficulty in breathing. As there is no vaccine made for this virus and COVID-19 tests are not readily available, this is causing panic. Various Artificial Intelligence-based algorithms and frameworks are being developed to detect this virus, but it has not been tested. People are taking advantages of others by providing duplicate COVID-19 test kits. A work is carried out with deep learning to detect presence of COVID 19. With the use of Convolutional Neural networks, the model is trained with dataset of COVID-19 positive and negative X-Rays. The accuracy of training model is 99% and the confusion matrix shows 98% values that are predicted truly. Hence, the model is able to detect the presence of COVID-19. <\/jats:p>","DOI":"10.1142\/s0219467821400106","type":"journal-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T03:47:41Z","timestamp":1608522461000},"source":"Crossref","is-referenced-by-count":14,"title":["A Study on SARS-CoV-2 (COVID-19) and Machine Learning Based Approach to Detect COVID-19 Through X-Ray Images"],"prefix":"10.1142","volume":"22","author":[{"given":"Anuj Kumar","family":"Gupta","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India"}]},{"given":"Manvinder","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication, Chandigarh Group of Colleges, Punjab, India"}]},{"given":"Ankit","family":"Sharma","sequence":"additional","affiliation":[{"name":"Managing Director, Stellar Life Care, India"}]},{"given":"Vikas","family":"Menon","sequence":"additional","affiliation":[{"name":"Department of Biotechnology, Chandigarh Group of Colleges, Landran, Punjab, India"}]}],"member":"219","published-online":{"date-parts":[[2020,12,19]]},"reference":[{"key":"S0219467821400106BIB001","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200370"},{"key":"S0219467821400106BIB003","doi-asserted-by":"publisher","DOI":"10.1093\/jtm\/taaa021"},{"key":"S0219467821400106BIB004","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.2565"},{"key":"S0219467821400106BIB005","doi-asserted-by":"publisher","DOI":"10.1111\/tmi.13383"},{"key":"S0219467821400106BIB006","doi-asserted-by":"publisher","DOI":"10.1111\/febs.15303"},{"key":"S0219467821400106BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijantimicag.2020.105932"},{"key":"S0219467821400106BIB009","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2020147"},{"key":"S0219467821400106BIB010","doi-asserted-by":"publisher","DOI":"10.1097\/ICO.0000000000002291"},{"key":"S0219467821400106BIB011","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijantimicag.2020.105932"},{"key":"S0219467821400106BIB013","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2014.999833"},{"key":"S0219467821400106BIB014","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-016-1553-2"},{"key":"S0219467821400106BIB015","doi-asserted-by":"publisher","DOI":"10.1142\/S0219467820500060"},{"key":"S0219467821400106BIB016","doi-asserted-by":"publisher","DOI":"10.1142\/S0219467820500096"}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219467821400106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T06:35:44Z","timestamp":1653978944000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0219467821400106"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,19]]},"references-count":13,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["10.1142\/S0219467821400106"],"URL":"https:\/\/doi.org\/10.1142\/s0219467821400106","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,19]]},"article-number":"2140010"}}