Prediction of Patients with COVID-19 Requiring Intensive Care: A Cross-sectional Study Based on Machine-learning Approach from Iran-Reference-Cited by-同舟云学术

Prediction of Patients with COVID-19 Requiring Intensive Care: A Cross-sectional Study Based on Machine-learning Approach from Iran

Published:2022-06-20 Issue:6 Volume:26 Page:688-695
ISSN:0972-5229
Container-title:Indian Journal of Critical Care Medicine
language:en
Short-container-title:

Author:

Sabetian Golnar,Azimi Aram,Kazemi Azar,Hoseini Benyamin,Asmarian Naeimehossadat,Khaloo Vahid,Zand Farid,Masjedi Mansoor,Shahriarirad Reza,Shahriarirad Sepehr

Publisher

Jaypee Brothers Medical Publishing

Subject

Critical Care and Intensive Care Medicine

Link

https://www.ijccm.org/doi/pdf/10.5005/jp-journals-10071-24226

Reference35 articles.

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2. 2. Goshayeshi L, Akbari Rad M, Bergquist R, Allahyari A, Hashemzadeh K, Hoseini B. Demographic and clinical characteristics of severe Covid-19 infections: a cross-sectional study from Mashhad University of Medical Sciences, Iran. BMC Infect Dis 2021;21(1):656. DOI: 10.1186/s12879-021-06363-6.

3. 3. Wang W, Xu Y, Gao R, Lu R, Han K, Wu G, et al. Detection of SARS-CoV-2 in different types of clinical specimens. JAMA 2020;323(18): 1843–1844. DOI: 10.1001/jama.2020.3786.

4. 4. Goshayeshi L, Milani N, Bergquist R, Sadrzadeh SM, Rajabzadeh F, Hoseini B. Covid-19 presented only with gastrointestinal symptoms: a case report of a 14-year-old patient. Govaresh 2021;25(4):300–304.

5. 5. Heo J, Han D, Kim HJ, Kim D, Lee YK, Lim D, et al. Prediction of patients requiring intensive care for COVID-19: development and validation of an integer-based score using data from Centers for Disease Control and Prevention of South Korea. J Intensive Care 2021;9(1):16. DOI: 10.1186/s40560-021-00527-x.

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