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COVID-19

The importance of association of comorbidities on COVID-19 outcomes: a machine learning approach

ORCID Icon, , , , , , , , , , , , , , , , , ORCID Icon, , , , ORCID Icon & ORCID Icon show all
Pages 501-510 | Received 30 Oct 2021, Accepted 12 Jan 2022, Published online: 01 Feb 2022

References

  • Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–513.
  • Gao HN, Lu HZ, Cao B, et al. Clinical findings in 111 cases of influenza A (H7N9) virus infection. N Engl J Med. 2013;368(24):2277–2285.
  • Emami A, Javanmardi F, Pirbonyeh N, et al. Prevalence of underlying diseases in hospitalized patients with COVID-19: a systematic review and meta-analysis. Arch Acad Emerg Med. 2020;8(1):e35.
  • Yang J, Zheng Y, Gou X, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–95.
  • Casas-Rojo JM, Antón-Santos JM, Millán-Núñez-Cortés J, et al. Características clínicas de los pacientes hospitalizados con COVID-19 en españa: resultados del registro SEMI-COVID-19. Rev Clin Española. 2020;220(8):480–494.
  • Ranieri VM, Rubenfeld GD, Thompson BT, et al. Acute respiratory distress syndrome: the berlin definition. Jama. 2012;307(23):2526–2533.
  • Ponikowski P, Voors AA, Anker SD, Bueno H, et al. Authors/task force members; document reviewers. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the heart failure association (HFA) of the ESC. Eur J Heart Fail. 2016;18(8):891–975.
  • Taylor FB, Jr, Toh CH, Hoots WK, et al. Towards definition, clinical and laboratory criteria, and a scoring system for disseminated intravascular coagulation – on behalf of the scientific subcommittee on Disseminated Intravascular Coagulation (DIC) of the international society on. Thromb Haemost. 2001;86(11):1327–1330.
  • Breiman L. Random forests. Machine Learning. 2001;45(1):5–32.
  • Liaw A, Wiener M. Classification and regression by randomForest. R News. 2002;2:18–22.
  • Strobl C, Boulesteix AL, Zeileis A, et al. Bias in random Forest variable importance measures: illustrations, sources and a solution. BMC Bioinformatics. 2007;8:25.
  • Scrucca L, Fop M, Murphy TB, et al. Mclust 5: clustering, classification and density estimation using gaussian finite mixture models. R J. 2016;8(1):289–317.
  • Fraley C, Raftery AE. Model-based clustering, discriminant analysis and density estimation. J Am Stat Assoc. 2002;97(458):611–631.
  • Simera I, Moher D, Hoey J, et al. A catalogue of reporting guidelines for health research. Eur J Clin Invest. 2010;40(1):35–53.
  • Richardson S, Hirsch JS, Narasimhan M, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York city Area. Jama. 2020;323(20):2052–2059.
  • Herman C, Mayer K, Sarwal A. Scoping review of prevalence of neurologic comorbidities in patients hospitalized for COVID-19. Neurology. 2020;95(2):77–84.
  • Gao YD, Ding M, Dong X, et al. Risk factors for severe and critically ill COVID-19 patients: a review. Allergy. 2021;76(2):428–455.
  • Penna C, Mercurio V, Tocchetti CG, et al. Sex-related differences in COVID-19 lethality. Br J Pharmacol. 2020;177(19):4375–4385.
  • Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054–1062.
  • Sokolowska M, Lukasik ZM, Agache I, et al. Immunology of COVID-19: mechanisms, clinical outcome, diagnostics, and perspectives-A report of the European Academy of Allergy and Clinical Immunology (EAACI). Allergy. 2020;75(10):2445–2476.
  • Inciardi RM, Adamo M, Lupi L, et al. Characteristics and outcomes of patients hospitalized for COVID-19 and cardiac disease in Northern Italy. Eur Heart J. 2020;41(19):1821–1829.
  • Artoni A, Abbattista M, Bucciarelli P, et al. Platelet to lymphocyte ratio and neutrophil to lymphocyte ratio as risk factors for venous thrombosis. Clin Appl Thromb Hemost. 2018;24(5):808–814.
  • Cabibbo G, Rizzo GEM, Stornello C, et al. SARS-CoV-2 infection in patients with a normal or abnormal liver. J Viral Hepat. 2021;28(1):4–11.
  • Kumar-M P, Mishra S, Jha DK, et al. Coronavirus disease (COVID-19) and the liver: a comprehensive systematic review and meta-analysis. Hepatol Int. 2020;14(5):711–722.

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