Filiz Yetiz
Biographic Data
| ID | 7952806 |
|---|---|
| NAME | Filiz Yetiz |
| GIVEN NAMES | Filiz |
| FAMILY NAME | Yetiz |
| SIGNATURE | YETIZ F |
| AFFILIATIONS | Akdeniz University |
| ORCID | 0000-0001-5480-9268 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Prediction of Financial Soundness Index for Viability in the European Banking System Using Machine Learning
This study aims to predict financial soundness for sustainability of European banking system using machine learning techniques. A sustainable banking system ensures the efficient use of economic resources, manages risks in a balanced manner, and contributes to long-term financial stability and economic continuity both at the sectoral and national levels. In this context, this study constructs a banking soundness index based on the financial sound…
Determination of Workload, Work Stress and Related Factors in Nursing Home Workers during the Covid-19 Pandemic in Turkey
The results of this study provide new information about the concepts of workload and work stress experienced during the COVID-19 pandemic in Turkey, which will serve as a guide for the management of future pandemics. Therefore, this study will contribute to the strategies to be followed in future pandemics in Turkey
No prominent works on this page.
Determination of Workload, Work Stress and Related Factors in Nursing Home Workers during the Covid-19 Pandemic in Turkey
The results of this study provide new information about the concepts of workload and work stress experienced during the COVID-19 pandemic in Turkey, which will serve as a guide for the management of future pandemics. Therefore, this study will contribute to the strategies to be followed in future pandemics in Turkey
Prediction of Financial Soundness Index for Viability in the European Banking System Using Machine Learning
This study aims to predict financial soundness for sustainability of European banking system using machine learning techniques. A sustainable banking system ensures the efficient use of economic resources, manages risks in a balanced manner, and contributes to long-term financial stability and economic continuity both at the sectoral and national levels. In this context, this study constructs a banking soundness index based on the financial sound…
Asset quality (1 work) · Banking stability, regulation, efficiency (1 work) · Capital adequacy ratio (1 work) · Cluster (spacecraft (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 Pandemic Impacts (1 work) · Cross-sectional study (1 work) · Financial Distress and Bankruptcy Prediction (1 work) · Financial regulation (1 work)