Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol.

Neves AL, Pereira Rodrigues P, Mulla A, Glampson B, Willis T, Darzi A, Mayer E

Open source

DOI: 10.1136/bmjopen-2020-046716
Published: 2021 Jul 30
Container: BMJ open
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1136/bmjopen-2020-046716,
  title = {Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol.},
  author = {Neves AL and Pereira Rodrigues P and Mulla A and Glampson B and Willis T and Darzi A and Mayer E},
  year = {2021},
  journal = {BMJ open},
  doi = {10.1136/bmjopen-2020-046716},
  url = {https://doi.org/10.1136/bmjopen-2020-046716}
}

RIS

TY  - JOUR
TI  - Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol.
AU  - Neves AL
AU  - Pereira Rodrigues P
AU  - Mulla A
AU  - Glampson B
AU  - Willis T
AU  - Darzi A
AU  - Mayer E
PY  - 2021
JO  - BMJ open
DO  - 10.1136/bmjopen-2020-046716
UR  - https://doi.org/10.1136/bmjopen-2020-046716
ER  -

APA

AL, N., P, P. R., A, M., B, G., T, W., A, D., & E, M. (2021). Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol.. BMJ open. https://doi.org/10.1136/bmjopen-2020-046716

Source records

pubmed · retrieved 2026-09-26T23:36:25.291Z
europe-pmc · retrieved 2026-09-26T23:36:25.307Z
doaj · retrieved 2026-09-26T23:36:25.309Z