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Publisher Correction: Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records (Scientific Reports, (2021), 11, 1, (20685), 10.1038/s41598-021-00144-6)

Lookup NU author(s): Dr Ali HassaineORCiD, Dr Dexter CanoyORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2021, The Author(s).The Funding section in the original version of this Article was omitted. The Funding section now reads: “The following authors are supported by grants from the British Heart Foundation (BHF): YL & KR (grant number: FS/PhD/21/29110) and KR & DC (grant number: PG/18/65/33872); KR is also in receipt of funding from the UKRI’s Global Challenges Research Fund (GCRF), Grant Ref ES/P0110551/1, Oxford NIHR Biomedical Research Centre and the Oxford Martin School (OMS), University of Oxford. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The views expressed are those of the authors and not necessarily those of the OMS, the BHF, the GCRF, the NIHR or the Department of Health and Social Care.” The original Article has been corrected

Publication metadata

Author(s): Li Y, Rao S, Hassaine A, Ramakrishnan R, Canoy D, Salimi-Khorshidi G, Mamouei M, Lukasiewicz T, Rahimi K

Publication type: Note

Publication status: Published

Journal: Scientific Reports

Year: 2021

Volume: 11

Issue: 1

Print publication date: 11/02/2021

Online publication date: 09/11/2021

Acceptance date: 02/04/2021

ISSN (electronic): 2045-2322

Publisher: Nature Research


DOI: 10.1038/s41598-021-01680-x

PubMed id: 34754051