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Technical note: Determining the applicability of a clinical knowledge-based learning model via prospective outlier detection.
Zhang, Jiahan; Sheng, Yang; Wolf, Jonathan; Kayode, Oluwatosin; Bradley, Jeffrey; Ge, Yaorong; Wu, Q Jackie; Yang, Xiaofeng; Liu, Tian; Roper, Justin.
Afiliación
  • Zhang J; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Sheng Y; Department of Radiation Oncology, Duke University, Durham, North Carolina, USA.
  • Wolf J; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Kayode O; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Bradley J; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Ge Y; Department of Software and Information Systems, The University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
  • Wu QJ; Department of Radiation Oncology, Duke University, Durham, North Carolina, USA.
  • Yang X; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Liu T; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
  • Roper J; Department of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
Med Phys ; 49(4): 2193-2202, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35157318
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia de Intensidad Modulada Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia de Intensidad Modulada Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article