Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU

Coronavirus disease-19 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of intensive care unit (ICU) admissions globally. The role of machine learning in the ICU is evolving but currently limited to diagnostic and prognostic valu...

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Veröffentlicht in:	Journal of infection and public health Jg. 15; H. 7; S. 826 - 834
Hauptverfasser:	Elhazmi, Alyaa, Al-Omari, Awad, Sallam, Hend, Mufti, Hani N., Rabie, Ahmed A., Alshahrani, Mohammed, Mady, Ahmed, Alghamdi, Adnan, Altalaq, Ali, Azzam, Mohamed H., Sindi, Anees, Kharaba, Ayman, Al-Aseri, Zohair A., Almekhlafi, Ghaleb A., Tashkandi, Wail, Alajmi, Saud A., Faqihi, Fahad, Alharthy, Abdulrahman, Al-Tawfiq, Jaffar A., Melibari, Rami Ghazi, Al-Hazzani, Waleed, Arabi, Yaseen M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.07.2022 The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences Elsevier
Schlagworte:	Adult Algorithms Cohort Studies COVID-19 Critical Illness Decision tree Decision Trees Humans ICU Intensive Care Units Machine Learning Original Pandemics Predictors Prospective Studies Retrospective Studies SARS-CoV-2 SARS-Cov2 COVID-19 SARS-Cov2 ICU Decision tree Predictors
ISSN:	1876-0341, 1876-035X, 1876-035X
Online-Zugang:	Volltext
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