Individualized sepsis treatment using reinforcement learning

Suchi Saria

doi:10.1038/s41591-018-0253-x

Individualized sepsis treatment using reinforcement learning

Suchi Saria

Whiting School of Engineering

Research output: Contribution to journal › Comment/debate › peer-review

7 Scopus citations

Abstract

Reinforcement learning is applied to two large databases of electronic health records for patients admitted to an intensive care unit to identify individualized treatment strategies for correcting hypotension in sepsis.

Original language	English (US)
Pages (from-to)	1641-1642
Number of pages	2
Journal	Nature medicine
Volume	24
Issue number	11
DOIs	https://doi.org/10.1038/s41591-018-0253-x
State	Published - Nov 1 2018

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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title = "Individualized sepsis treatment using reinforcement learning",

abstract = "Reinforcement learning is applied to two large databases of electronic health records for patients admitted to an intensive care unit to identify individualized treatment strategies for correcting hypotension in sepsis.",

author = "Suchi Saria",

note = "Funding Information: S.S. has received research support from the American Heart Association (Dallas) and an honorarium from AbbVie (Chicago) and has an ownership interest in Patient Ping (Boston) and Bayesian Health (Baltimore). Publisher Copyright: {\textcopyright} 2018, Springer Nature America, Inc.",

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N1 - Funding Information: S.S. has received research support from the American Heart Association (Dallas) and an honorarium from AbbVie (Chicago) and has an ownership interest in Patient Ping (Boston) and Bayesian Health (Baltimore). Publisher Copyright: © 2018, Springer Nature America, Inc.

PY - 2018/11/1

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N2 - Reinforcement learning is applied to two large databases of electronic health records for patients admitted to an intensive care unit to identify individualized treatment strategies for correcting hypotension in sepsis.

AB - Reinforcement learning is applied to two large databases of electronic health records for patients admitted to an intensive care unit to identify individualized treatment strategies for correcting hypotension in sepsis.

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M3 - Comment/debate

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JO - Nature medicine

JF - Nature medicine

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ER -

Individualized sepsis treatment using reinforcement learning

Abstract

ASJC Scopus subject areas

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