A Multimodel-Based Screening Framework for C-19 Using Deep Learning-Inspired Data Fusion.

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Title: A Multimodel-Based Screening Framework for C-19 Using Deep Learning-Inspired Data Fusion.
Authors: Shankar A, Rizwan P, Mekala MS, Elyan E, Gandomi AH, Maple C, Rodrigues JJPC
Source: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2025 Nov; Vol. 29 (11), pp. 8474-8483.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: A Multimodel-Based Screening Framework for C-19 Using Deep Learning-Inspired Data Fusion.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Institute+of+Electrical+and+Electronics+Engineers%22">Institute of Electrical and Electronics Engineers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101604520 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2168-2208 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221682194%22">21682194 </searchLink><i>NLM ISO Abbreviation: </i>IEEE J Biomed Health Inform <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1109/JBHI.2024.3400878
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      – Code: eng
        Text: English
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        StartPage: 8474
    Titles:
      – TitleFull: A Multimodel-Based Screening Framework for C-19 Using Deep Learning-Inspired Data Fusion.
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            NameFull: Shankar A
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            NameFull: Rizwan P
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            NameFull: Mekala MS
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            NameFull: Elyan E
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            NameFull: Gandomi AH
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            NameFull: Maple C
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            NameFull: Rodrigues JJPC
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            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
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            – TitleFull: IEEE journal of biomedical and health informatics
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