Dental Caries Risk Assessment in Children 5 Years Old and under via Machine Learning
Background: Dental caries is a prevalent, complex, chronic illness that is avoidable. Better dental health outcomes are achieved as a result of accurate and early caries risk prediction in children, which also helps to avoid additional expenses and repercussions. In recent years, artificial intellig...
Saved in:
Main Authors: | Seyed-Ali (Author), Ali Rahmani Qeranqayeh (Author), Elhadj Benkhalifa (Author), David Dyke (Author), Lynda Taylor (Author), Mahshid Bagheri (Author) |
---|---|
Format: | Book |
Published: |
MDPI AG,
2022-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prevalence of Dental Caries in 5- and 6-Year-Old Myanmar Children
by: Yoshiaki Nomura, et al.
Published: (2019) -
Caries experience in children under 5 years old in the Xingu indigenous park in Brazil
by: Alana Cristina Guisilini, et al.
Published: (2021) -
Machine learning to predict untreated dental caries in adolescents
by: Rafael Aiello Bomfim
Published: (2024) -
Corrigendum to "Prevalence of Dental Caries in 5- and 6-Year-Old Myanmar Children"
by: Yoshiaki Nomura, et al.
Published: (2019) -
Effect of dental procedures under general anesthesia on life quality and dental fears in 2-5 year-old children
by: Naser Kaviani, et al.
Published: (2012)