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Validation pipeline for machine learning algorithm assessment for multiple vendors.
Bizzo, Bernardo C; Ebrahimian, Shadi; Walters, Mark E; Michalski, Mark H; Andriole, Katherine P; Dreyer, Keith J; Kalra, Mannudeep K; Alkasab, Tarik; Digumarthy, Subba R.
Afiliación
  • Bizzo BC; MGH & BWH Center for Clinical Data Science, Mass General Brigham, Boston, Massachusetts, United States of America.
  • Ebrahimian S; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Walters ME; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Michalski MH; MGH & BWH Center for Clinical Data Science, Mass General Brigham, Boston, Massachusetts, United States of America.
  • Andriole KP; MGH & BWH Center for Clinical Data Science, Mass General Brigham, Boston, Massachusetts, United States of America.
  • Dreyer KJ; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Kalra MK; MGH & BWH Center for Clinical Data Science, Mass General Brigham, Boston, Massachusetts, United States of America.
  • Alkasab T; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Digumarthy SR; MGH & BWH Center for Clinical Data Science, Mass General Brigham, Boston, Massachusetts, United States of America.
PLoS One ; 17(4): e0267213, 2022.
Article en En | MEDLINE | ID: mdl-35486572
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos