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Predicting COVID‐19 Mortality Risk Among Cardiovascular Disease Patients Using Artificial Intelligence Algorithms: A Retrospective Study on Clinical Data
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1
Autoren
2026
Jahr
Abstract
The XGB model demonstrated greater potential to stratify at-risk CVD patients on admission, particularly for COVID-19 mortality, by better allocating clinical resources and improving the prognosis of COVID-19 patients with this chronic condition, thereby achieving greater predictive performance and clinical usability.
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