Deep Learning for Tooth Loss Diagnosis: Socioeconomic and Nutritional Factors from NHANES 2013

This research explores the application of deep artificial neural networks (DNNs) for the diagnosis of tooth loss, utilizing socioeconomic and nutritional features as determinants. The study leverages data from the National Health and Nutrition Examination Survey (NHANES) conducted in 2013. The goal is to identify significant factors contributing to tooth loss and provide insights for preventative interventions.