AI-driven feature selection using only survey variable descriptions: large language models identify adolescent vaping predictors
Abstract Objective To evaluate the effectiveness of various Large Language Models (LLMs) in identifying reliable predictors of Electronic Nicotine Delivery Systems (ENDS) initiation among adolescents, using solely large-scale survey variable descriptions. Methods A cohort of 7,943 tobacco-naïve adolescents aged 12-16 y...
Kaidi Zhang, Zimo Zhao, Yan Hu et al.
· Machine Learning Health · 0 citations