Covid-19 Diagnosis by WE-SAJ.

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
Wei Wang, Xin Zhang, Shui-Hua Wang, Yu-Dong Zhang
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引用次数: 40

Abstract

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.

WE-SAJ诊断Covid-19。
随着COVID-19全球大流行,确诊患者数量迅速增加,世界医疗资源非常有限。因此,快速诊断和监测COVID-19是当今世界最严峻的挑战之一。基于人工智能的CT图像分类模型可以快速准确地区分感染患者和健康人群。我们的研究提出了一种深度学习模型(WE-SAJ),使用小波熵进行特征提取,两层fnn进行分类,自适应Jaya算法作为训练算法。与基于jaya的模型相比,它实现了卓越的性能。该模型灵敏度为85.47±1.84,特异度为87.23±1.67,精密度为87.03±1.34,准确度为86.35±0.70,F1评分为86.23±0.77,Matthews相关系数为72.75±1.38,Fowlkes-Mallows指数为86.24±0.76。我们的实验证明了人工智能技术在COVID-19诊断中的潜力,以及与Jaya算法相比,自适应Jaya算法在医学图像分类任务中的有效性。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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