This study addresses variations in suicide rates across the United States and the impact of three county-level clusters of social determinants of health characteristics. The authors used unsupervised machine learning to analyze data from 2009 to 2019, revealing that remote areas, characterized by rurality and older populations, had the highest suicide rates, highlighting the need for addressing disparities with targeted interventions.
- Yunyu Xiao
- Yuan Meng
- J. John Mann
