An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems
Abstract Background We applied machine learning (ML) algorithms to generate a risk prediction tool [Collaboration for Risk Evaluation in COVID-19 (CORE-COVID-19)] for predicting the composite of 30-day endotracheal intubation, intravenous administration of vasopressors, or death after COVID-19 hospi...
Main Authors: | Stephen Wai Hang Kwok, Guanjin Wang, Ferdous Sohel, Kianoush B. Kashani, Ye Zhu, Zhen Wang, Eduardo Antpack, Kanika Khandelwal, Sandeep R. Pagali, Sanjeev Nanda, Ahmed D. Abdalrhim, Umesh M. Sharma, Sumit Bhagra, Sagar Dugani, Paul Y. Takahashi, Mohammad H. Murad, Mohammed Yousufuddin |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-03-01
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Series: | Respiratory Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12931-023-02386-6 |
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