The COVID-19 Pandemic: How Technology Is Reshaping Public Health and Medicine

Author:

Coelho Luís12ORCID,Glotsos Dimitrios3,Reis Sara4ORCID

Affiliation:

1. ISEP—School of Engineering, Polytechnic Institute of Porto, 4200-465 Porto, Portugal

2. INESCTEC, Campus da Faculdade de Engenharia da Universidade do Porto, 4200-465 Porto, Portugal

3. Biomedical Engineering Department, University of West Attica, 122 43 Athens, Greece

4. CIETI, Polytechnic Institute of Porto, 4200-465 Porto, Portugal

Abstract

The outbreak of the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been a watershed moment in human history, causing a profound shift in the global landscape that has affected every aspect of our lives [...]

Publisher

MDPI AG

Subject

Bioengineering

Reference23 articles.

1. Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S., and Chadaga, R. (2023). A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence. Bioengineering, 10.

2. Lundberg, S.M., and Lee, S.-I. (2017). Advances in Neural Information Processing Systems, Curran Associates, Inc.

3. Fan, A., Jernite, Y., Perez, E., Grangier, D., Weston, J., and Auli, M. (2023, May 09). ELI5: Long Form Question Answering. Available online: https://arxiv.org/abs/1907.09190v1.

4. Ribeiro, M.T., Singh, S., and Guestrin, C. (2023, May 09). “Why Should I Trust You?”: Explaining the Predictions of Any Classifier. Available online: https://arxiv.org/abs/1602.04938v3.

5. Broløs, K.R., Machado, M.V., Cave, C., Kasak, J., Stentoft-Hansen, V., Batanero, V.G., Jelen, T., and Wilstrup, C. (2023, May 09). An Approach to Symbolic Regression Using Feyn. Available online: https://arxiv.org/abs/2104.05417v1.

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