Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning Approaches
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66538-7_9
Reference14 articles.
1. Appelman, B., Oppelaar, J.J., Broeders, L., Wiersinga, W.J., Peters-Sengers, H., Vogt, L.: Mortality and readmission rates among hospitalized COVID-19 patients with varying stages of chronic kidney disease: a multicenter retrospective cohort. Sci. Rep. 12(1), 1–8 (2022)
2. Birkmeyer, J.D., Barnato, A., Birkmeyer, N., Bessler, R., Skinner, J.: The impact of the COVID-19 pandemic on hospital admissions in the United States. Health Aff. 39(11), 2010–2017 (2020)
3. Boccatonda, A., et al.: Platelet count in patients with SARS-CoV-2 infection: a prognostic factor in COVID-19. J. Clin. Med. Res. 11(14) (2022)
4. CDC: COVID data tracker, March 2020. https://covid.cdc.gov/covid-data-tracker/
5. Dong, F., Huang, K., Ren, X., Wang, Y., Jiao, J., Yang, T.: Factors associated with 90-day readmission in inpatients with chronic obstructive pulmonary disease. Eur. Respir. J. 56(Suppl. 64) (2020)
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