A Global Perspective on Women's Health: K-Means Cluster Analysis
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https://doi.org/10.5281/zenodo.15108776%20Keywords:
Women's health, health, K-means clustering, sociodemographic factors, health policies.Abstract
Assessing women's health at the global level is critical to understanding gender inequalities, socioeconomic dynamics, and the effectiveness of health policies. This study aims to compare women's health indicators in different countries using K-means cluster analysis and group countries with similar profiles.
In the study, criteria regarding women's health from the data provided by the World Bank were used. Using the k-means clustering method, countries were divided into C1 and C2 categories according to health indicators. C1 countries are generally developing or underdeveloped countries and are affected by deficiencies in health infrastructure and socioeconomic inequalities. C2 countries consist of developed or rapidly developing countries with high living standards and strong health systems. The results of the study highlight key factors that policymakers should pay attention to to improve women's health. The findings provide recommendations for improving health policies and reducing global health inequalities.
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