A data-driven approach to predict daily risk of Clostridium difficile infection at two large academic health centers

A data-driven approach to predict daily risk of Clostridium difficile infection at two large academic health centers

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>An estimated 293,300 healthcare-associated cases of Clostridium difficile infection (CDI) occur annually in the United State...

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Bibliographic Details
Main Authors: Makar, Maggie, Oh, Jeeheh, Fusco, Christopher, Marchesani, Joseph, McCaffrey, Robert, Rao, Krishna, Ryan, Erin E, Washer, Laraine, West, Lauren R, Young, Vincent B, Guttag, John, Hooper, David C, Shenoy, Erica S, Wiens, Jenna
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Oxford University Press (OUP) 2021
Online Access:https://hdl.handle.net/1721.1/133359

Internet

https://hdl.handle.net/1721.1/133359

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