Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm.

Journal: JDR clinical and translational research
Published Date: Nov 11, 2019

Abstract

OBJECTIVES: Evaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral health. Parent and Child toolkits consist of short-form survey items (12 for children and 8 for parents) with and without children's demographic information (7 questions) to predict the child's oral health status and need for treatment.

Authors

  • Y Wang
    1 School of Public Health, Capital Medical University, Beijing, China.
  • R D Hays
    Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
  • M Marcus
    Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
  • C A Maida
    Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
  • J Shen
    Pediatric Medicine, the Affiliated Hospital of Chengde Medical University, Chengde, China.
  • D Xiong
    Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
  • I D Coulter
    Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
  • S Y Lee
  • V W Spolsky
    Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
  • J J Crall
    Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
  • H Liu
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.

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