@article{0961f4d6a4084c07a388940545556593,
title = "Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?",
keywords = "electronic data processing, electronic health records, informatics, machine learning, sepsis, severe sepsis",
author = "Suchi Saria and Henry, {Katharine E.}",
note = "Funding Information: Dr. Saria has grants from Gordon and Betty Moore Foundation, the National Science Foundation, the National Institutes of Health, Defense Advanced Research Projects Agency, and the American Heart Association",
year = "2020",
month = feb,
day = "1",
doi = "10.1097/CCM.0000000000004144",
language = "English (US)",
volume = "48",
pages = "137--141",
journal = "Critical care medicine",
issn = "0090-3493",
publisher = "Lippincott Williams and Wilkins",
number = "2",
}