Funding for this research was provided by:
Wellcome Trust (MR/K006584/1)
Horizon 2020 Framework Programme (644753)
UK Infrastructure for Large-scale Clinical Genomics Research (MC_PC_14089)
National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust
National Institute for Health Research (NIHR) Biomedical Research Centre at University College London Hospital
NHS England Enablement
Text and Data Mining valid from 2018-06-25
Received: 20 March 2017
Accepted: 1 June 2018
First Online: 25 June 2018
Ethics approval and consent to participate
: The creation of the CogStack software was an internal service development project for King’s College Hospital NHS Foundation Trust, and thus did not require ethical approval. As no patient identifiable data was required for the development of the software, no approval was sought from the Health Research Authority according to Confidentiality Advisory Group guidelines ( ExternalRef removed ). The validation of the Bio-YODIE software made use of the CRIS dataset, which is approved as an anonymised data resource for secondary analysis by Oxfordshire Research Ethics Committee C (08/H0606/71) and governance is provided for all projects and dissemination through a patient-led oversight committee.
: Not applicable: No individual persons data is presented in this manuscript.
: RJ and RS have received research funding from Roche, Pfizer, J&J and Lundbeck.
: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.