Using a Machine Learning Algorithm to Predict the Likelihood of Presence of Dental Caries among Children Aged 2 to 7

• Egile Nagusiak: Francisco Ramos-Gomez (Egilea), Marvin Marcus (Egilea), Carl A. Maida (Egilea), Yan Wang (Egilea), Janni J. Kinsler (Egilea), Di Xiong (Egilea), Steve Y. Lee (Egilea), Ron D. Hays (Egilea), Jie Shen (Egilea), James J. Crall (Egilea), Honghu Liu (Egilea)
• Formatua: Liburua
• Argitaratua: MDPI AG, 2021-12-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Background: Dental caries is the most common chronic childhood infectious disease and is a serious public health problem affecting both developing and industrialized countries, yet it is preventable in most cases. This study evaluated the potential of screening for dental caries among children using...