دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: 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
المؤلفون: Kwok, Stephen Wai Hang, Wang, Guanjin, Sohel, Ferdous, Kashani, Kianoush B., Zhu, Ye, Wang, Zhen, Antpack, Eduardo, Khandelwal, Kanika, Pagali, Sandeep R., Nanda, Sanjeev, Abdalrhim, Ahmed D., Sharma, Umesh M., Bhagra, Sumit, Dugani, Sagar, Takahashi, Paul Y., Murad, Mohammad H.Aff4, Aff12, Yousufuddin, MohammedAff6, Aff13, IDs12931023023866_cor17
المصدر: Respiratory Research. 24(1)
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:1465993X
DOI:10.1186/s12931-023-02386-6