Using machine learning algorithms to investigate factors associated with complete edentulism among older adults in the United States.

Abimbola M OladayoHikkaduwa Withanage Miyuraj HarishchandraErliang ZengDaniel J CaplanAzeez ButaliLeonardo Marchini

Published in: Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry (2023)

Findings from our study support the declining prevalence of complete edentulism in older adults in the US and show that it is possible to develop a high-performing ML model to investigate the most important factors associated with edentulism using nationally representative data.

Keyphrases

machine learning
physical activity
risk factors
deep learning
big data