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A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human centered intelligent clinical decision support system.

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Title: A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human centered intelligent clinical decision support system.
Authors: Singh, Law Kumar1, lawkumarcs1@gmail.com, Khanna, Munish2, munishkhanna.official@rocketmail.com, Garg, Hitendra1, hitendra.garg@gmail.com, Singh, Rekha3, singh.rekha70@gmail.com
Source: Multimedia Tools & Applications; Apr2025, Vol. 84 Issue 14, p13717-13785, 69p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human centered intelligent clinical decision support system.
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  Data: <searchLink fieldCode="AU" term="%22Singh%2C+Law+Kumar%22">Singh, Law Kumar</searchLink><relatesTo>1</relatesTo>, <i>lawkumarcs1@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Khanna%2C+Munish%22">Khanna, Munish</searchLink><relatesTo>2</relatesTo>, <i>munishkhanna.official@rocketmail.com</i><br /><searchLink fieldCode="AU" term="%22Garg%2C+Hitendra%22">Garg, Hitendra</searchLink><relatesTo>1</relatesTo>, <i>hitendra.garg@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Singh%2C+Rekha%22">Singh, Rekha</searchLink><relatesTo>3</relatesTo>, <i>singh.rekha70@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Apr2025, Vol. 84 Issue 14, p13717-13785, 69p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184915743
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      – Type: doi
        Value: 10.1007/s11042-024-19549-2
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      – Code: eng
        Text: English
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              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 84
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