A 3M K-means algorithm for fast and practicably identifying COVID-19 close contacts

Xun Liang; Zihuan Feng; Yang Xue; Xiaolei Zhao

doi:10.1051/matecconf/202133606009

All issues

Volume 336 (2021)

MATEC Web Conf., 336 (2021) 06009

References

Open Access

Issue		MATEC Web Conf. Volume 336, 2021 2020 2^nd International Conference on Computer Science Communication and Network Security (CSCNS2020)


Article Number		06009
Number of page(s)		6
Section		Artificial Recognition and Application
DOI		https://doi.org/10.1051/matecconf/202133606009
Published online		15 February 2021

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[1] Timeline of China releasing information on COVID-19 and advancing international cooperation on epidemic response. China Daily (2020) http://www.chinadaily.com.cn/a/202004/06/WS5e8b2f5aa31012821728496b_3.html. [Google Scholar]

[2] Coronavirus: the first three months as it happened. Nature, 2020. doi: 10.1038/d41586-020-00154-w. [Google Scholar]

[3] Health QR code helps curb the spread of COVID-19, China Daily, http://www.chinadaily.com.cn/a/202003/27/WS5e7dd30da310128217282956.html (2020-03-27). [Google Scholar]

[4] X. Liang, Y. Xue, X. Zhao, A location-based method and system for detecting close contacts of patients with epidemic diagnosis, China Patent Number 202010267024.9 (2020-04-03). [Google Scholar]

[5] X. Liang, Z. Feng, Y. Xue, A multi-level close contact person detection method and system based on successive decreasing clustering, China Patent Number 202011397066.0(2020-12-04) [Google Scholar]

[6] Z. Yue, L. Ma, R. Zhang, Comparison and validation of deep learning models for the diagnosis of pneumonia, Computational Intelligence and Neuroscience, (2020), Article ID 8876798, https://doi.org/10.1155/2020/8876798 [Google Scholar]

[7] J.S. Jia, X. Lu, Y. Yuan, et al. Population flow drives spatio-temporal distribution of COVID-19 in China. Nature, (2020). doi: 10.1038/s41586-020-2284-y. [Google Scholar]

[8] C. Sabanayagam, D. Xu, D.S. Ting, et al. A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations. Lancet Digital Health, (2020). doi:10.1016/S2589-7500(20)30063-7. [Google Scholar]

[9] M. Monteiro, V. Newcombe, F. Mathieu, Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study, Lancet Digital Health, (2020). doi: 10.1016/S2589-7500(20)30085-6. [Google Scholar]

[10] A. Cho, AI systems aim to sniff out coronavirus outbreaks. Science. 368, 6493, 810-811, (2020). doi: 10.1126/science.368.6493.810 [Google Scholar]

[11] C. Ma, X. Liang, Y. Ma, A succinct distributive big data clustering algorithm based on local-remote coordination, Proc. IEEE International Conference on Systems, Man and Cybernetics, (2015), 1839-1844, Hong Kong. doi: 10.1109/SMC.2015.322 [CrossRef] [Google Scholar]