Artificial Intelligence Techniques in Prediction of COVID-19 Mortality and Its Related Factors: A Multi-Center Study

    Abolfazl Payandeh, Habibollah Esmaily, Masoud ‎Salehi, Seyed Mahdi Amir Jahanshahi, Zahra Arab Borzu, Ahmad Bolouri
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    Studysummary In this retrospective study, researchers developed machine learning models to predict mortality risk among 7115 COVID-19 patients in Iran, finding that the random forests model performed best with 96% accuracy and identified factors like intubation and SpO2 as significant predictors.
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