Individualized sepsis treatment using reinforcement learning

Research output: Contribution to journalComment/debate

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 languageEnglish (US)
Pages (from-to)1641-1642
Number of pages2
JournalNature Medicine
Volume24
Issue number11
DOIs
StatePublished - Nov 1 2018

Fingerprint

Intensive care units
Electronic Health Records
Reinforcement learning
Hypotension
Intensive Care Units
Sepsis
Health
Learning
Databases
Therapeutics
Reinforcement (Psychology)

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Individualized sepsis treatment using reinforcement learning. / Saria, Suchi.

In: Nature Medicine, Vol. 24, No. 11, 01.11.2018, p. 1641-1642.

Research output: Contribution to journalComment/debate

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