Developing a Genetic Algorithm-Based Frailty Index for China Health and Retirement Longitudinal Study
Researchers developed a genetic algorithm-based frailty index using nine years of longitudinal data from the China Health and Retirement Longitudinal Study to predict mortality and falls risk in aging adults. This computational approach identifies which physiological and functional markers most reliably indicate vulnerability to adverse outcomes, providing a data-driven alternative to subjective clinical assessment.

