Safety-Driven Design of Machine Learning for Sepsis Treatment

Yan Jia; Tom Lawton; John Burden; John Alexander McDermid; Ibrahim Habli

doi:10.1016/j.jbi.2021.103762

Safety-Driven Design of Machine Learning for Sepsis Treatment

Yan Jia, Tom Lawton, John Burden, John Alexander McDermid, Ibrahim Habli

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	103762
Number of pages	16
Journal	Journal of Biomedical Informatics
Volume	117
Early online date	30 Mar 2021
DOIs	https://doi.org/10.1016/j.jbi.2021.103762
Publication status	Published - May 2021

Bibliographical note

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10.1016/j.jbi.2021.103762

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© 2021 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
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Cite this

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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",

note = "{\textcopyright} 2021 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. ",

year = "2021",

month = may,

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language = "English",

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AU - Jia, Yan

AU - Lawton, Tom

AU - Burden, John

AU - McDermid, John Alexander

AU - Habli, Ibrahim

PY - 2021/5

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DO - 10.1016/j.jbi.2021.103762

M3 - Article

VL - 117

JO - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

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