Predicting dental caries outcomes in young adults using machine learning approach.

Journal: BMC oral health
Published Date: May 3, 2024

Abstract

OBJECTIVES: To predict the dental caries outcomes in young adults from a set of longitudinally-obtained predictor variables and identify the most important predictors using machine learning techniques.

Authors

  • Chukwuebuka Ogwo
    Department of Oral Health Sciences, Temple University Maurice H Kornberg School of Dentistry, 3223 N Broad Street, L216, Philadelphia, PA, 19131, US. Chukwuebuka.ogwo@temple.edu.
  • Grant Brown
    Department of Biostatistics, College of Public Health, The University of Iowa, Iowa City, IA, 52242, US.
  • John Warren
    Department of Preventive and Community Dentistry, The University of Iowa College of Dentistry, 801 Newton Rd, Iowa City, IA, 52242, US.
  • Daniel Caplan
    Department of Preventive and Community Dentistry, The University of Iowa College of Dentistry, 801 Newton Rd, Iowa City, IA, 52242, US.
  • Steven Levy
    Department of Preventive and Community Dentistry, The University of Iowa College of Dentistry, 801 Newton Rd, Iowa City, IA, 52242, US.

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