Identification of clinical features associated with mortality in COVID-19 patients
Year of publication: |
2023
|
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Authors: | Eskandarian, Rahimeh ; Alizadehsani, Roohallah ; Behjati, Mohaddeseh ; Zahmatkesh, Mehrdad ; Alizadeh Sani, Zahra ; Haddadi, Azadeh ; Kakhi, Kourosh ; Roshanzamir, Mohamad ; Shoeibi, Afshin ; Hussain, Sadiq ; Khozeimeh, Fahime ; Tayarani Darbandy, Mohammad ; Hassannataj Joloudari, Javad ; Lashgari, Reza ; Khosravi, Abbas ; Nahavandi, Saeid ; Islam, Sheikh Mohammed Shariful |
Published in: |
Operations research forum. - Cham : Springer International Publishing, ISSN 2662-2556, ZDB-ID 2978290-9. - Vol. 4.2023, 1, Art.-No. 16, p. 1-20
|
Subject: | COVID-19 | Machine learning | Mortality | Risk factors | Symptoms | Künstliche Intelligenz | Artificial intelligence | Sterblichkeit | Coronavirus | Patienten | Patients | Wirkungsanalyse | Impact assessment | Morbidität | Morbidity | Infektionskrankheit | Infectious disease |
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