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  5. Comparison of Two Statistical Models for Predicting Mortality in COVID-19 Patients in Iran
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Shiraz E-Medical Journal

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Scopus by Title (Ref)


1. The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study

- Seyedtabib M. , et al.

2. Screening ovarian cancer by using risk factors: machine learning assists

- Nopour R. , et al.

3. The potential use of digital health in Iran: A systematic mapping review

- Shojaee-Mend H. , et al.

4. Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features

- Barough S.S. , et al.

5. The predictive model for COVID-19 pandemic plastic pollution by using deep learning method

- Nanehkaran Y.A. , et al.

6. Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study

- Dipaola F. , et al.

7. Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning

- Mulenga C. , et al.

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