Using Machine-Learned Bayesian Belief Networks to Predict Perioperative Risk of Clostridium Difficile Infection Following Colon Surgery

Using Machine-Learned Bayesian Belief Networks to Predict Perioperative Risk of Clostridium Difficile Infection Following Colon Surgery

BackgroundClostridium difficile (C-Diff) infection following colorectal resection is an increasing source of morbidity and mortality. ObjectiveWe sought to determine if machine-learned Bayesian belief networks (ml-BBNs) could preoperatively provide clinicians with...

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Bibliographic Details
Main Authors: Steele, Scott, Bilchik, Anton, Eberhardt, John, Kalina, Philip, Nissan, Aviram, Johnson, Eric, Avital, Itzhak, Stojadinovic, Alexander
Format: Article
Language:English
Published: JMIR Publications 2012-09-01
Series:Interactive Journal of Medical Research
Online Access:http://www.jmir.org/2012/2/e6/

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http://www.jmir.org/2012/2/e6/

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