Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.

Zhai, Haijun; Brady, Patrick; Li, Qi; Lingren, Todd; Ni, Yizhao; Wheeler, Derek S; Solti, Imre

Zhai, Haijun; Brady, Patrick; Li, Qi; Lingren, Todd; Ni, Yizhao; Wheeler, Derek S; Solti, Imre.

Afiliación

Zhai H; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Brady P; Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Li Q; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Lingren T; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Ni Y; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Wheeler DS; Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Solti I; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. Electronic address: imre.solti@cchmc.org.

Resuscitation ; 85(8): 1065-71, 2014 Aug.

Article en En | MEDLINE | ID: mdl-24813568

Asunto(s)

Algoritmos; Inteligencia Artificial; Niño Hospitalizado; Necesidades y Demandas de Servicios de Salud; Unidades de Cuidado Intensivo Pediátrico/organización & administración; Transferencia de Pacientes; Niño; Femenino; Estudios de Seguimiento; Humanos; Lactante; Masculino; Curva ROC; Estudios Retrospectivos; Índice de Severidad de la Enfermedad

Palabras clave

Clinical care; Clinical status deterioration; EHR; Machine learning; PEWS; PICU

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial / Unidades de Cuidado Intensivo Pediátrico / Niño Hospitalizado / Transferencia de Pacientes / Necesidades y Demandas de Servicios de Salud Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Female / Humans / Infant / Male Idioma: En Revista: Resuscitation Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Irlanda

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