Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25714, first published .
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

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

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

Uddhav Vaghela 1*, MBBS, BSc;  Simon Rabinowicz 1*, MBBS, BSc;  Paris Bratsos 1, MBBS, BSc;  Guy Martin 1, PhD;  Epameinondas Fritzilas 2, PhD;  Sheraz Markar 1, PhD;  Sanjay Purkayastha 1, PhD;  Karl Stringer 3;  Harshdeep Singh 4, MSc;  Charlie Llewellyn 2;  Debabrata Dutta 4, PhD;  Jonathan M Clarke 1, PhD;  Matthew Howard 2, PhD;   PanSurg REDASA Curators 1, 5*;  Ovidiu Serban 6, PhD;  James Kinross 1, FRCS, PhD

1 PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London , GB

2 Amazon Web Services UK Limited , London , GB

3 MirrorWeb Limited , Manchester , GB

4 Cloudwick Technologies , Newark, CA, US

5 see Acknowledgments , London , GB

6 Data Science Institute, Imperial College London , London , GB

*these authors contributed equally

Corresponding Author:

  • Ovidiu Serban, PhD
  • Data Science Institute
  • Imperial College London
  • William Penney Laboratory
  • South Kensington Campus
  • London
  • GB
  • Phone: 44 00000000
  • Email: o.serban@imperial.ac.uk