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

Journal: JDR clinical and translational research

PMID: 38877718

Abstract

OBJECTIVES: To evaluate how different data sources affect the performance of machine learning algorithms that predict dental general anesthesia use among children with behavioral health conditions.

Authors

J Peng
T J Gorham

IT Research & Innovation, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
B D Meyer

Division of Pediatric Dentistry, The Ohio State University and Nationwide Children's Hospital, Columbus, OH, USA.

Keywords

Adolescent Anesthesia, Dental Anesthesia, General Child Child, Preschool Electronic Health Records Female Humans Infant Machine Learning Male Medicaid Retrospective Studies United States

External Resources

View on PubMed Access via DOI PubMed (38877718)

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

Abstract

Authors

Keywords

External Resources

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