Initial research on frailty prevention using large-scale language models (LLM)

Abstract

This study uses a large-scale language model to examine methods for preventing frailty. In Japan, one out of every 2.5 persons will be 65 or older in the first half of life in 2060. Compared to healthy elderly, frail elderly people are at about twice the risk of needing assistance or nursing care. This study examines prompts to prevent frailty, improve quality of life, and realize a sustainable society. Utilizing a large-scale language model, we confirmed the feasibility of several prompts and the challenges.