Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study-Reference-Cited by-同舟云学术

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Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study

Published:2022 Issue:2 Volume:12 Page:60
ISSN:2045-9912
Container-title:Medical Gas Research
language:en
Short-container-title:Med Gas Res

Author:

Huyut MehmetTahir,Üstündağ Hilal

Publisher

Medknow

Subject

Anesthesiology and Pain Medicine,Neuroscience (miscellaneous)

Cited by 41 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. Impact of Hyponatremia on COVID-19-Related Outcomes: A Retrospective Analysis;Biomedicines;2024-09-02

2. Machine learning approaches to predict the need for intensive care unit admission among Iranian COVID‐19 patients based on ICD‐10: A cross‐sectional study;Health Science Reports;2024-09

3. Research on Predictive Auxiliary Diagnosis Method for Gastric Cancer Based on Non-Invasive Indicator Detection;Applied Sciences;2024-08-06

4. Machine learning algorithms for predicting COVID-19 mortality in Ethiopia;BMC Public Health;2024-06-28

5. Examinatıon of D-Dimer, Fibrınogen, CRP, and LDH Levels in Serum of Patients with COVID-19 Diabetes Mellitus;Proceedings of the National Academy of Sciences, India Section B: Biological Sciences;2024-06-13

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