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Covid-19 Diagnosis by WE-SAJ (Record no. 347)

MARC details
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Authentication code dc
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Personal name Wang, Wei
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9 (RLIN) 1802
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Title Covid-19 Diagnosis by WE-SAJ
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Date of publication, distribution, etc. 2022-12-31.
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General note /pmc/articles/PMC7613983/
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General note /pubmed/36568847
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Summary, etc. With a global COVID-19 pandemic, the number of confirmed patients increases rapidly, leaving the world with very few medical resources. Therefore, the fast diagnosis and monitoring of COVID-19 are one of the world's most critical challenges today. Artificial intelligence-based CT image classification models can quickly and accurately distinguish infected patients from healthy populations. Our research proposes a deep learning model (WE-SAJ) using wavelet entropy for feature extraction, two-layer FNNs for classification and the adaptive Jaya algorithm as a training algorithm. It achieves superior performance compared to the Jaya-based model. The model has a sensitivity of 85.47±1.84, specificity of 87.23±1.67 precision of 87.03±1.34, an accuracy of 86.35±0.70, and F1 score of 86.23±0.77, Matthews correlation coefficient of 72.75±1.38, and Fowlkes-Mallows Index of 86.24±0.76. Our experiments demonstrate the potential of artificial intelligence techniques for COVID-19 diagnosis and the effectiveness of the Self-adaptive Jaya algorithm compared to the Jaya algorithm for medical image classification tasks.
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Terms governing use and reproduction
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Language note en
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Topical term or geographic name as entry element Article
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Genre/form data or focus term Text
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700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Xin
Relator term author
9 (RLIN) 1803
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Shui-Hua
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9 (RLIN) 1804
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Yu-Dong
Relator term author
9 (RLIN) 1805
786 0# - DATA SOURCE ENTRY
Note Syst Sci Control Eng
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1080/21642583.2022.2045645">http://dx.doi.org/10.1080/21642583.2022.2045645</a>
Public note Connect to this object online.
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Barcode Date last seen Price effective from
    Dewey Decimal Classification     Beaconhouse Newlands Beaconhouse Newlands 29/01/2024   bk3000000000 29/01/2024 29/01/2024