An Analysis of Dietary and Demographic Data in Oral Health, Data from the National Health and Nutrition Examination Survey: A Preliminary Study

Abstract

Dietary and demographics features has an influence in the general health status of the population in the world. Therefore in this paper is proposed an univariate analysis of 7 dietary and demographic features to study the impact on the oral status in order recognize the different determinants that contribute to modify in a negative way the oral health status. Univariate analysis is carried on applying an multi objective linear regression and evaluated in terms of area under the curve (AUC), p-value, sensitivity and specificity. Additionally, a multivariate model is done to evaluate confounder to increase the AUC. Preliminary results shows that individually water source is an important feature that affects oral health status.

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014

“…On the other hand, this work [ 22 ] presents a multivariate model obtained through a FBS method based on the p -value, in order to classify between three different classes, ”caries”, ”restorations” and ”control”; this model was evaluated using a statistical analysis, obtaining a maximum AUC value of 0.664. Finally, this work [ 23 ] presents a univariate analysis using a linear regression approach in order to classify between subjects with the presence of caries and with absence; then, from the most significant univariate models, a multivariate model contained by three features was developed, which obtained an AUC value of 0.572.…”