Diagnosis of COVID-19 from blood parameters using convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08508-y.pdf
Reference58 articles.
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2. Alakus TB, Turkoglu I (2020) Comparison of deep learning approaches to predict COVID-19 infection. Chaos Solitons Fractals 140(11):110120. https://doi.org/10.1016/j.chaos.2020.110120
3. Alazab M (2020) Automated malware detection in mobile app stores based on robust feature generation. Electronics 9(3):435. https://doi.org/10.3390/electronics9030435
4. Albawi S, Mohammed TA, Al-Zawi S (2017) Understanding of a convolutional neural network. In: 2017 International conference on engineering and technology (ICET). https://ieeexplore.ieee.org/document/8308186
5. Alexandridi M, Mazej J, Palermo E, Hiscott J (2022) The coronavirus pandemic-2022: viruses, variants and vaccines. Cytokine Growth Factor Rev 63:1–9. https://doi.org/10.1016/j.cytogfr.2022.02.002
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1. Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey;Artificial Intelligence in Medicine;2024-05
2. Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges;Bioengineering;2023-07-18
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