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Predicting Dental General Anesthesia Use among Children with Behavioral Health Conditions.

J PengT J GorhamBeau D Meyer
Published in: JDR clinical and translational research (2024)
Machine learning was applied to satisfactorily predict which children with behavioral health diagnoses would require dental treatment under general anesthesia. Incorporating electronic medical record data or area-level social determinants of health data, but not both, improved the performance of the machine learning predictions. The 2 highest performing models could be applied by hospitals using medical record data or by organizations using area-level social determinants of health data to risk stratify the pediatric behavioral health population.
Keyphrases
  • healthcare
  • public health
  • machine learning
  • mental health
  • big data
  • health information
  • electronic health record
  • young adults
  • deep learning
  • childhood cancer