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

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

Oral health represents an essential component in the quality of life of people, being a determinant factor in general health since it may affect the risk of suffering other conditions, such as chronic diseases. Oral diseases have become one of the main public health problems, where dental caries is...

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Bibliographic Details
Main Authors: Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Nubia M. Chávez-Lamas, Jesús Rivas-Gutierrez, Rafael Magallanes-Quintanar, Jose M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Bioengineering
Subjects:
NHANES
oral health
dental caries
classification multivariate models
computer-aided diagnosis
artificial neural networks
deep learning
statistical analysis
Online Access:http://www.mdpi.com/2306-5354/5/2/47

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http://www.mdpi.com/2306-5354/5/2/47

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