@article{54b362cabb0346cda374dd21b151015d,
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.",
year = "2018",
month = nov,
day = "1",
doi = "10.1038/s41591-018-0253-x",
language = "English (US)",
volume = "24",
pages = "1641--1642",
journal = "Nature medicine",
issn = "1078-8956",
publisher = "Nature Publishing Group",
number = "11",
}