Predicting mortality in hospitalized COVID-19 patients
Author:
Publisher
Springer Science and Business Media LLC
Subject
Emergency Medicine,Internal Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11739-022-03017-6.pdf
Reference42 articles.
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2. Kivrak M, Guldogan E, Colak C (2021) Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods. Comput Methods Programs Biomed 201:105951. https://doi.org/10.1016/j.cmpb.2021.105951
3. Ceci FM, Fiore M, Gavaruzzi F, Angeloni A, Lucarelli M, Scagnolari C et al (2022) Early routine biomarkers of SARS-CoV-2 morbidity and mortality: outcomes from an emergency section. Diagn (Basel). https://doi.org/10.3390/diagnostics12010176
4. Shang Y, Liu T, Wei Y, Li J, Shao L, Liu M et al (2020) Scoring systems for predicting mortality for severe patients with COVID-19. EClinicalMedicine 24:100426. https://doi.org/10.1016/j.eclinm.2020.100426
5. Aminasnafi A, Heidari S, Alisamir M, Mirkarimi M, Namehgoshayfard N, Pezeshki SMS (2022) Hematologic evaluation of children with COVID-19 infection: mortality biomarkers. Clin Lab. https://doi.org/10.7754/Clin.Lab.2021.210746
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