Application of machine learning (ML) and internet of things (IoT) in healthcare to predict and tackle pandemic situation

Author:

Sitharthan R.,Rajesh M.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Hardware and Architecture,Information Systems,Software

Reference28 articles.

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2. Yu, W.B., Tang, G.D., Zhang, L., Corlett, R.T.: Decoding the evolution and transmissions of the novel pneumonia coronavirus (SARS-CoV-2) using whole genomic data. ChinaXiv 202002(v2), 5 (2020)

3. Chan, J.F.W., Yuan, S., Kok, K.H., To, K.K.W., Chu, H., Yang, J., Xing, F., Liu, J., Yip, C.C.Y., Poon, R.W.S., Tsoi, H.W.: A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 395(10223), 514–523 (2020)

4. Liu, W., Tao, Z.W., Wang, L., Yuan, M.L., Liu, K., Zhou, L., Wei, S., Deng, Y., Liu, J., Liu, H.G., Ming, Y.: Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease. Chin. Med. J. (2020). https://doi.org/10.1097/CM9.0000000000000775. (Publish Ahead of Print)

5. Goumenou, M., Sarigiannis, D., Tsatsakis, A., Anesti, O., Docea, A.O., Petrakis, D., Tsoukalas, D., Kostoff, R., Rakitskii, V., Spandidos, D.A., Aschner, M.: COVID–19 in Northern Italy: an integrative overview of factors possibly influencing the sharp increase of the outbreak. Mol. Med. Rep. 22(1), 20–32 (2020)

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