Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56703-2_24
Reference16 articles.
1. Kania, M., et al.: Characteristics, mortality, and clinical outcomes of hospitalized patients with COVID-19 and diabetes: a reference single-center cohort study from Poland. Int. J. Endocrinol. 2023, Article ID 8700302, 11 (2023)
2. Iaccarino, G., Grassi, G., Borghi, C., Carugo, S., Fallo, F., Ferri, C., et al.: Gender differences in predictors of intensive care units admission among COVID-19 patients: the results of the SARS-RAS study of the Italian society of hypertension. PLoS ONE 15(10), e0237297 (2020)
3. A reversal of fortune: Comparison of health system responses to COVID-19 in the Visegrad group during the early phases of the pandemicAnna Sagan 1, Lucie Bryndova 2, Iwona Kowalska-Bobko 3, Martin Smatana 4, Anne Spranger 5, Viktoria Szerencses 6, Erin Webb 5, Peter Gaal 6PMID: 34789401 PMCID: PMC8527640. https://doi.org/10.1016/j.healthpol.2021.10.009
4. Klein, S.L., Dhakal, S., Ursin, R.L., Deshpande, S., Sandberg, K., Mauvais-Jarvis, F.: Biological sex impacts COVID-19 outcomes. PLoS Pathog. 16(6), e1008570 (2020)
5. Covid-19 worldwide: we need precise data by age group and sex urgentlyBMJ 2020; 369. https://doi.org/10.1136/bmj.m1366. Accessed 03 Apr 2020
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