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Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.
Fouladvand, Sajjad; Gomez, Federico Reyes; Nilforoshan, Hamed; Schwede, Matthew; Noshad, Morteza; Jee, Olivia; You, Jiaxuan; Sosic, Rok; Leskovec, Jure; Chen, Jonathan.
Afiliación
  • Fouladvand S; Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America. Electronic address: sajjadf@stanford.edu.
  • Gomez FR; Computer Science Department, Stanford University, Stanford, CA, United States of America. Electronic address: frg100@alumni.stanford.edu.
  • Nilforoshan H; Computer Science Department, Stanford University, Stanford, CA, United States of America. Electronic address: hamedn@cs.stanford.edu.
  • Schwede M; Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America. Electronic address: mschwede@stanford.edu.
  • Noshad M; Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America. Electronic address: noshad@stanford.edu.
  • Jee O; Primary Care and Population Health, Stanford University, Stanford, CA, United States of America. Electronic address: ojee@stanford.edu.
  • You J; Computer Science Department, Stanford University, Stanford, CA, United States of America. Electronic address: jiaxuan@cs.stanford.edu.
  • Sosic R; Computer Science Department, Stanford University, Stanford, CA, United States of America. Electronic address: rok@cs.stanford.edu.
  • Leskovec J; Computer Science Department, Stanford University, Stanford, CA, United States of America. Electronic address: jure@cs.stanford.edu.
  • Chen J; Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America; Division of Hospital Medicine, Stanford University, Stanford, CA, United States of America; Clinical Excellence Research Center, Stanford University, Stanford, CA, United States of America. Electronic addre
J Biomed Inform ; 143: 104407, 2023 07.
Article en En | MEDLINE | ID: mdl-37271308
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article