Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening - ORA - Oxford University Research Archive

Back to Search

Journal article

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening

Publication status:: Accepted

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Yang, J., Soltan, A., & Clifton, D. (2022). Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. Npj Digital Medicine.

MLA Style

Yang, J., et al. “Machine Learning Generalizability across Healthcare Settings: Insights from Multi-Site COVID-19 Screening.” Npj Digital Medicine, Springer Nature, 2022.

Chicago Style

Yang, J, A Soltan, and D Clifton. 2022. “Machine Learning Generalizability across Healthcare Settings: Insights from Multi-Site COVID-19 Screening.” Npj Digital Medicine.
Tweet
Print

Authors

+ Yang, J More by this author

Role:

Author

+ Soltan, A More by this author

Role:

Author

+ Clifton, D More by this author

Institution:

University of Oxford

Division:

MPLS

Department:

Engineering Science

Oxford college:

Balliol College

Role:

Author

Bibliographic Details

Publisher:: Springer Nature Publisher's website
Journal:: npj Digital Medicine Journal website
Acceptance date:: 2022-05-19
EISSN:: 2398-6352

Item Description

Language:: English
Keywords:: FFR
Pubs id:: 1260182
Local pid:: pubs:1260182
Deposit date:: 2022-05-20

Terms of use

Notes:: This article has been accepted for publication in npj Digital Medicine.

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Metrics

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP