What is the impact and efficacy of routine immunological, biochemical and hematological biomarkers as predictors of COVID-19 mortality?

Yerel katalogda bu makaleye atıf yapan 18 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. 2022 Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things pplicationAtıf 49 · OpenAlex
2. 2022 Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural NetworkAtıf 41 · OpenAlex
3. 2023 Effect of ferritin, INR, and D-dimer immunological parameters levels as predictors of COVID-19 mortality: A strong prediction with the decision treesAtıf 35 · OpenAlex
4. 2022 Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory BiomarkersAtıf 29 · OpenAlex
5. 2023 LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19Atıf 10 · OpenAlex
6. 2023 CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patientsAtıf 9 · OpenAlex
7. 2023 CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.Atıf 9 · OpenAlex
8. 2023 CVD22: Explainable Artificial Intelligence Determination of the Relationship of Troponin to D-Dimer, Mortality, and CK-MB in COVID-19 PatientsAtıf 9 · OpenAlex
9. 2022 The Effect of Some Symptoms and Features During the Infection Period on the Level of Anxiety and Depression of Adults after Recovery from COVID-19Atıf 7 · OpenAlex
10. 2022 The Effect of Some Symptoms and Features During the Infection Period on the Level of Anxiety and Depression of Adults after Recovery from COVID-19Atıf 7 · OpenAlex