Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning.

Taheri-Shirazi, Maryam; Namdar, Khashayar; Ling, Kelvin; Karmali, Karima; McCradden, Melissa D; Lee, Wayne; Khalvati, Farzad

Taheri-Shirazi, Maryam; Namdar, Khashayar; Ling, Kelvin; Karmali, Karima; McCradden, Melissa D; Lee, Wayne; Khalvati, Farzad.

Afiliación

Taheri-Shirazi M; Department of Diagnostic Imaging, The Hospital for Sick Children (SickKids), Toronto, ON, Canada.
Namdar K; Department of Diagnostic Imaging, The Hospital for Sick Children (SickKids), Toronto, ON, Canada.
Ling K; Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
Karmali K; Vector Institute, Toronto, ON, Canada.
McCradden MD; NVIDIA Deep Learning Institute, Austin, TX, United States.
Lee W; Department of Diagnostic Imaging, The Hospital for Sick Children (SickKids), Toronto, ON, Canada.
Khalvati F; Department of Diagnostic Imaging, The Hospital for Sick Children (SickKids), Toronto, ON, Canada.

Front Public Health ; 11: 968319, 2023.

Article en En | MEDLINE | ID: mdl-36908403

Asunto(s)

Citas y Horarios; Imagen por Resonancia Magnética; Humanos; Niño; Imagen por Resonancia Magnética/métodos; Modelos Logísticos; Hospitales; Aprendizaje Automático

Palabras clave

appointment scheduling; logistic regression; no-show; random forest; waiting room time

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Citas y Horarios / Imagen por Resonancia Magnética Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google