Mortality prediction of COVID-19 in hospitalized patients using the 2020 diagnosis procedure combination administrative database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - Internal Medicine, 2023 - jstage.jst.go.jp
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
被引用次数：7 相关文章

Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - Internal Medicine, 2023 - jstage.jst.go.jp
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …

Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan.

S Nojiri, Y Irie, R Kanamori, T Naito… - Internal Medicine (Tokyo …, 2022 - europepmc.org
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
[PDF] academia.edu

[PDF][PDF] Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - academia.edu
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
[PDF] scienceopen.com

[PDF][PDF] Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - Intern Med, 2023 - scienceopen.com
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …

Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

I Yoshiki, K Rie, N Toshio, N Yuji - Japanese Journal of Medicine, 2023 - cir.nii.ac.jp
抄録< p> Objectives Numerous people have died from coronavirus disease 2019 (COVID-
19) infection. Identifying crucial predictive biomarkers of disease mortality is critical to …

Mortality prediction of COVID-19 in hospitalized patients using the 2020 diagnosis procedure combination administrative database of Japan.

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - 2023 - cabidigitallibrary.org
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …

Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito… - Internal medicine …, 2023 - pubmed.ncbi.nlm.nih.gov
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
[PDF] archive.org

[PDF][PDF] Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - scholar.archive.org
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
[HTML] nih.gov

[HTML][HTML] Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - Internal Medicine, 2023 - ncbi.nlm.nih.gov
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …