Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression Trees.

Sparapani, Rodney A; Teng, Bi Q; Hilbrands, Julia; Pipkorn, Rebecca; Feuling, Mary Beth; Goday, Praveen S

Sparapani, Rodney A; Teng, Bi Q; Hilbrands, Julia; Pipkorn, Rebecca; Feuling, Mary Beth; Goday, Praveen S.

Afiliação

Sparapani RA; From the Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI.
Teng BQ; From the Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI.
Hilbrands J; the Clinical Nutrition, Children's Wisconsin, Milwaukee, WI.
Pipkorn R; the Clinical Nutrition, Children's Wisconsin, Milwaukee, WI.
Feuling MB; the Clinical Nutrition, Children's Wisconsin, Milwaukee, WI.
Goday PS; the Pediatric Gastroenterology and Nutrition, Medical College of Wisconsin, Milwaukee, WI.

J Pediatr Gastroenterol Nutr ; 75(2): 210-214, 2022 08 01.

Article em En | MEDLINE | ID: mdl-35641892

Assuntos

Registros Eletrônicos de Saúde; Aprendizado de Máquina; Teorema de Bayes; Criança; Pré-Escolar; Humanos; Curva ROC; Estudos Retrospectivos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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