Dental Caries Risk Assessment in Children 5 Years Old and under via Machine Learning

• 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: article
• Online Access: Connect to this object online.

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...