Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database

Key Points

• This research aims to develop a machine learning model to predict fall risk among adults with arthritis.
• Utilized data from the China Health and Retirement Longitudinal Study (CHARLS)
• Developed a predictive model using machine learning techniques
• Analyzed factors contributing to fall risk in individuals with arthritis
• The model effectively identifies individuals at risk of falling
• Provides a valuable tool for improving clinical management
• Shows promise for application in public health strategies