Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China | Synapse
March 3, 2026
Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China
Key Points
The classification system effectively captures long-term care service needs among the elderly, enhancing service delivery.
Cluster analysis identified distinct need profiles for 572 elderly individuals across multiple centers in central China.
Machine learning algorithms were employed to analyze the data, optimizing the classification system for care service needs.
Understanding these care needs may enable better service distribution and planning for a growing elderly population.