@article{fccdcfa07473400397fa92d4db46d0e5,
title = "Striking the right balance{\textemdash}applying machine learning to pediatric critical care data",
keywords = "Big data, Human-computer interactions, Machine learning",
author = "Jenna Wiens and James Fackler",
note = "Funding Information: *See also p. 599. Key Words: big data; human-computer interactions; machine learning Drs. Wiens and Fackler received funding from Machine Learning for Healthcare (Board Member of this nonprofit, reimbursed for travel expenses to annual meeting). Dr. Fackler also disclosed that he is a Founder of Rubicon Health LLC under a licensing agreement between Rubicon Health and the Johns Hopkins University, and he is entitled to royalty distributions on technology described in this presentation. He is also the founder of and holds equity in Rubicon Health; however, Rubicon Health has neither a product nor revenue at this time. Copyright {\textcopyright} 2018 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2018",
month = jul,
doi = "10.1097/PCC.0000000000001578",
language = "English (US)",
volume = "19",
pages = "672--673270",
journal = "Pediatric Critical Care Medicine",
issn = "1529-7535",
publisher = "Lippincott Williams and Wilkins Ltd.",
number = "7",
}