Big Data Analytics for Modeling COVID-19 and Comorbidities: An Unmet Need
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-68936-0_10
Reference75 articles.
1. Chen, J., Qi, T., Liu, L., et al. (2020). Clinical progression of patients with COVID-19 in Shanghai, China. The Journal of Infection. https://dx.doi.org/10.1016/j.jinf.2020.03.004.
2. Chen, N., Zhou, M., Dong, X., et al. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet. https://doi.org/10.1016/S0140-6736(20)30211-7.
3. Wang, Y., Lu, X., Li, Y., et al. (2020). Clinical course and outcomes of 344 intensive care patients with COVID-19. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.202003-0736le.
4. Wu, C., Chen, X., Cai, Y., et al. (2020). Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.0994.
5. Liu, K., Chen, Y., Lin, R., & Han, K. (2020). Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients. The Journal of Infection. https://doi.org/10.1016/j.jinf.2020.03.005.
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