Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study-Reference-Cited by-同舟云学术

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Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study

Published:2022 Issue:5 Volume:63 Page:422
ISSN:0513-5796
Container-title:Yonsei Medical Journal
language:en
Short-container-title:Yonsei Med J

Author:

Kim Hyung-Jun¹^ORCID,Heo JoonNyung²³^ORCID,Han Deokjae⁴^ORCID,Oh Hong Sang⁵^ORCID

Affiliation:

1. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

2. Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.

3. The Armed Forces Medical Command, Seongnam, Korea.

4. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam, Korea.

5. Division of Infectious Diseases, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam, Korea.

Publisher

Yonsei University College of Medicine

Subject

General Medicine

Link

https://eymj.org/pdf/10.3349/ymj.2022.63.5.422

Reference37 articles.

1. A Novel Coronavirus from Patients with Pneumonia in China, 2019

2. Remdesivir for the Treatment of Covid-19 — Final Report

3. Dexamethasone in Hospitalized Patients with Covid-19

4. Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma

5. Efficacy of Tocilizumab in Patients Hospitalized with Covid-19

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a new prognostic model to predict pneumonia outcome using artificial intelligence-based chest radiograph results;Scientific Reports;2024-06-22

2. Clinical Implication and Prognostic Value of Artificial-Intelligence-Based Results of Chest Radiographs for Assessing Clinical Outcomes of COVID-19 Patients;Diagnostics;2023-06-16

3. The risk of venous thromboembolism and blood hyperlactatemia is associated with increased mortality among critically ill patients with Covid‐19;The Clinical Respiratory Journal;2023-05-05

4. Prognostic models in COVID-19 infection that predict severity: a systematic review;European Journal of Epidemiology;2023-02-25

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