This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Big Data (240) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Tools, Programs and Algorithms (266) Digital Science, Open Science (79) Epublishing and Open Access (86) Open Source and Data for Public Health (23) Natural Language Processing (692) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemic Management (49) Infodemiology and Infoveillance (1349)

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

Authors of this article:

Uddhav Vaghela1 Author Orcid Image ;   Simon Rabinowicz1 Author Orcid Image ;   Paris Bratsos1 Author Orcid Image ;   Guy Martin1 Author Orcid Image ;   Epameinondas Fritzilas2 Author Orcid Image ;   Sheraz Markar1 Author Orcid Image ;   Sanjay Purkayastha1 Author Orcid Image ;   Karl Stringer3 Author Orcid Image ;   Harshdeep Singh4 Author Orcid Image ;   Charlie Llewellyn2 Author Orcid Image ;   Debabrata Dutta4 Author Orcid Image ;   Jonathan M Clarke1 Author Orcid Image ;   Matthew Howard2 Author Orcid Image ;   PanSurg REDASA Curators1, 5 ;   Ovidiu Serban6 Author Orcid Image ;   James Kinross1 Author Orcid Image
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