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

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

Scott Steele, Anton Bilchik, John Eberhardt, Philip Kalina, Aviram Nissan, Eric Johnson, Itzhak Avital, Alexander Stojadinovic

Interact J Med Res 2012 (Sep 19); 1(2):e6

According to Crossref, the following articles are citing this article (DOI 10.2196/ijmr.2131):

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Attallah O, Ma X. Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2014;228(9):857
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Kenngott HG, Apitz M, Wagner M, Preukschas AA, Speidel S, Müller-Stich BP. Paradigm shift: cognitive surgery. Innovative Surgical Sciences 2017;2(3):139
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Rodgers M, Singham D. A Framework for Assessing Disruptions in a Clinical Supply Chain Using Bayesian Belief Networks. Journal of Pharmaceutical Innovation 2020;15(3):467
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Nandra R, Parry M, Forsberg J, Grimer R. Can a Bayesian Belief Network Be Used to Estimate 1-year Survival in Patients With Bone Sarcomas?. Clinical Orthopaedics and Related Research® 2017;475(6):1681
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Stevens VW, Russo EM, Young-Xu Y, Leecaster M, Zhang Y, Zhang C, Yu H, Cai B, Gonzalez EN, Gerding DN, Lawrence J, Samore MH. Identification of patients at risk of Clostridioides difficile infection for enrollment in vaccine clinical trials. Vaccine 2021;39(3):536
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According to Crossref, the following books are citing this article (DOI 10.2196/ijmr.2131):

Vukicevic M, Radovanovic S, Kovacevic A, Stiglic G, Obradovic Z. Knowledge Management in Organizations. 2015. Chapter 51:695
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