Cemile Zehra Köroğlu
Biographic Data
| ID | 6542673 |
|---|---|
| NAME | Cemile Zehra Köroğlu |
| GIVEN NAMES | Cemile Zehra |
| FAMILY NAME | Köroğlu |
| SIGNATURE | KÖROĞLU C Z |
| AFFILIATIONS | Usak University |
| ORCID | 0000-0002-9043-1773 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Global patterns and inequalities in healthy aging
Background: Population aging is a global phenomenon with significant implications for public health systems. Understanding the multidimensional determinants of healthy aging is essential for developing effective and equitable policies across countries. Methods: This study develops a composite Healthy Aging and Prevention Index (HAPI) to assess global healthy aging patterns using indicators of life span, health span, work span, income, environment…
Global Gender Inequality Through Explainable AI
Objective: This paper analyzes gender equality across countries in the year 2024 by using the GGGI, with the intention of disentangling the unseen structural and non-deterministic patterns. Instead of repeating the process of calculating the index, it is openly recognizing the compositional feature of the GGGI and the unseen similarities between the indices. Methods: This research employs a global cross-sectional study of 146 countries over the f…
No prominent works on this page.
Global patterns and inequalities in healthy aging
Background: Population aging is a global phenomenon with significant implications for public health systems. Understanding the multidimensional determinants of healthy aging is essential for developing effective and equitable policies across countries. Methods: This study develops a composite Healthy Aging and Prevention Index (HAPI) to assess global healthy aging patterns using indicators of life span, health span, work span, income, environment…
Global Gender Inequality Through Explainable AI
Objective: This paper analyzes gender equality across countries in the year 2024 by using the GGGI, with the intention of disentangling the unseen structural and non-deterministic patterns. Instead of repeating the process of calculating the index, it is openly recognizing the compositional feature of the GGGI and the unseen similarities between the indices. Methods: This research employs a global cross-sectional study of 146 countries over the f…
Inequality (2 works) · Aging and Gerontology Research (1 work) · Boosting (machine learning (1 work) · Cluster analysis (1 work) · Composite index (1 work) · Computational and Text Analysis Methods (1 work) · Economic and Technological Innovation (1 work) · Empowerment (1 work) · Global Health Care Issues (1 work) · Gradient boosting (1 work)