Standard
Safety-Driven Design of Machine Learning for Sepsis Treatment. / Jia, Yan; Lawton, Tom; Burden, John; McDermid, John Alexander; Habli, Ibrahim.
In:
Journal of Biomedical Informatics, Vol. 117, 103762, 05.2021.
Research output: Contribution to journal › Article › peer-review
Harvard
Jia, Y, Lawton, T, Burden, J
, McDermid, JA & Habli, I 2021, '
Safety-Driven Design of Machine Learning for Sepsis Treatment',
Journal of Biomedical Informatics, vol. 117, 103762.
https://doi.org/10.1016/j.jbi.2021.103762
APA
Jia, Y., Lawton, T., Burden, J.
, McDermid, J. A., & Habli, I. (2021).
Safety-Driven Design of Machine Learning for Sepsis Treatment.
Journal of Biomedical Informatics,
117, [103762].
https://doi.org/10.1016/j.jbi.2021.103762
Vancouver
Jia Y, Lawton T, Burden J
, McDermid JA, Habli I.
Safety-Driven Design of Machine Learning for Sepsis Treatment.
Journal of Biomedical Informatics. 2021 May;117. 103762.
https://doi.org/10.1016/j.jbi.2021.103762
Author
Jia, Yan ; Lawton, Tom ; Burden, John ; McDermid, John Alexander ; Habli, Ibrahim. / Safety-Driven Design of Machine Learning for Sepsis Treatment. In: Journal of Biomedical Informatics. 2021 ; Vol. 117.
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title = "Safety-Driven Design of Machine Learning for Sepsis Treatment",
author = "Yan Jia and Tom Lawton and John Burden and McDermid, {John Alexander} and Ibrahim Habli",
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year = "2021",
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RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Safety-Driven Design of Machine Learning for Sepsis Treatment
AU - Jia, Yan
AU - Lawton, Tom
AU - Burden, John
AU - McDermid, John Alexander
AU - Habli, Ibrahim
N1 - © 2021 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
PY - 2021/5
Y1 - 2021/5
U2 - 10.1016/j.jbi.2021.103762
DO - 10.1016/j.jbi.2021.103762
M3 - Article
VL - 117
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
SN - 1532-0464
M1 - 103762
ER -