Impact of COVID-19 on Society and Review of Machine Learning Algorithms in Diagnosis

Author:

Sivaramakrishnan S.,Bonthu Kiran Kumar,Hariharan G.,Amarjith J. B.,Poorvi J.,Thomas Adik

Publisher

Springer Nature Switzerland

Reference16 articles.

1. M. Shanmugam Shobha, P. Nymisha, S. Kailasam, B. Tanna, COVID-19 visualizer. Int. J. Res. Appl. Sci. Eng. Technol. 5(8), 2796–2804 (2020)

2. T. Shobha, R.J. Anandhi, Ensemble neural network classifier design using differential evolution, in Alliance International Conference on Artificial Intelligence and Machine Learning, (2020), pp. 300–309

3. S. Sivaramakrishnan, T. Kesavamurthy, Identifying cluster head and data transmission through them for efficient communication in wireless sensor network. J. Comput. Theor. Nanosci. 14, 8 (2017)

4. S. Sivaramakrishnan et al., Augmentation of terahertz communication in 6G and its dependency for future state-of-the-art Technology, in Challenges and Risks Involved in Deploying 6G and NextGen Networks, (IGI Global, 2022), pp. 91–105

5. D. Goodman-Meza, A. Rudas, J.N. Chiang, P.C. Adamson, J. Ebinger, N. Sun, et al., A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity. PLoS One 15(9), e0239474 (2020)

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