JOM KITA KE POLITEKNIK

Covid-19 Diagnosis by WE-SAJ (Record no. 2050)

MARC details
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Wang, Wei
Relator term author
245 00 - TITLE STATEMENT
Title Covid-19 Diagnosis by WE-SAJ
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2022-12-31.
500 ## - GENERAL NOTE
General note /pmc/articles/PMC7613983/
500 ## - GENERAL NOTE
General note /pubmed/36568847
520 ## - SUMMARY, ETC.
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.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction
546 ## - LANGUAGE NOTE
Language note en
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Article
655 7# - INDEX TERM--GENRE/FORM
Genre/form data or focus term Text
Source of term local
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
Relator term author
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Yu-Dong
Relator term author
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.

No items available.