Lessons in machine learning model deployment learned from sepsis

Patrick G. Lyons; Karandeep Singh

doi:10.1016/j.medj.2022.08.003

Lessons in machine learning model deployment learned from sepsis

Patrick G. Lyons, Karandeep Singh

Research output: Contribution to journal › Comment/debate

2 Scopus citations

Abstract

In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals.^1–3

Original language	English
Pages (from-to)	597-599
Number of pages	3
Journal	Med
Volume	3
Issue number	9
DOIs	https://doi.org/10.1016/j.medj.2022.08.003
State	Published - Sep 9 2022

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title = "Lessons in machine learning model deployment learned from sepsis",

abstract = "In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals.1–3",

author = "Lyons, {Patrick G.} and Karandeep Singh",

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year = "2022",

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AU - Lyons, Patrick G.

AU - Singh, Karandeep

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N2 - In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals.1–3

AB - In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals.1–3

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DO - 10.1016/j.medj.2022.08.003

M3 - Comment/debate

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VL - 3

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JO - Med

JF - Med

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Lessons in machine learning model deployment learned from sepsis

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