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, United Kingdom

2 Amazon Web Services UK Limited, London, United Kingdom

3 MirrorWeb Limited, Manchester, United Kingdom

4 Cloudwick Technologies, Newark, CA, United States

5 see Acknowledgments, London, United Kingdom

6 Data Science Institute, Imperial College London, London, United Kingdom

*these authors contributed equally

Corresponding Author:

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