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Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study.
Vaghela, Uddhav; Rabinowicz, Simon; Bratsos, Paris; Martin, Guy; Fritzilas, Epameinondas; Markar, Sheraz; Purkayastha, Sanjay; Stringer, Karl; Singh, Harshdeep; Llewellyn, Charlie; Dutta, Debabrata; Clarke, Jonathan M; Howard, Matthew; Serban, Ovidiu; Kinross, James.
  • Vaghela U; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Rabinowicz S; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Bratsos P; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Martin G; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Fritzilas E; Amazon Web Services UK Limited, London, United Kingdom.
  • Markar S; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Purkayastha S; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Stringer K; MirrorWeb Limited, Manchester, United Kingdom.
  • Singh H; Cloudwick Technologies, Newark, CA, United States.
  • Llewellyn C; Amazon Web Services UK Limited, London, United Kingdom.
  • Dutta D; Cloudwick Technologies, Newark, CA, United States.
  • Clarke JM; PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Howard M; Amazon Web Services UK Limited, London, United Kingdom.
  • Serban O; see Acknowledgments, London, United Kingdom.
  • Kinross J; Data Science Institute, Imperial College London, London, United Kingdom.
J Med Internet Res ; 23(5): e25714, 2021 05 06.
Article en En | MEDLINE | ID: mdl-33835932

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Motor de Búsqueda / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Motor de Búsqueda / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article