A multivariate Bayesian model for assessing morbidity after coronary artery surgery
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* Corresponding author: Paolo Barbini barbini@biolab.med.unisi.it
Critical Care 2006, 10:R94 doi:10.1186/cc4951
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BioMed Central: 4 citations
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Research article
Development of a clinical decision model for thyroid nodules Alexander Stojadinovic, George E Peoples, Steven K Libutti, Leonard R Henry, John Eberhardt, Robin S Howard, David Gur, Eric A Elster, Aviram Nissan BMC Surgery 2009, 9:12 (10 August 2009) A Bayesian network decision model that incorporates nodule measures accurately predicts malignancy in patients with thyroid nodules and could provide a valuable decision support tool to identify benign nodules and prevent unnecessary operations.
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Research article
Gabriele Cevenini, Emanuela Barbini, Sabino Scolletta, Bonizella Biagioli, Pierpaolo Giomarelli, Paolo Barbini BMC Medical Informatics and Decision Making 2007, 7:36 (22 November 2007) |
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Research article
Emanuela Barbini, Gabriele Cevenini, Sabino Scolletta, Bonizella Biagioli, Pierpaolo Giomarelli, Paolo Barbini BMC Medical Informatics and Decision Making 2007, 7:35 (22 November 2007) |
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Review
Year in review 2006: Critical Care – resource management Marcus J Schultz, Michael Kuiper, Peter E Spronk, Margreeth B Vroom, Ognjen Gajic Critical Care 2007, 11:223 (24 August 2007) |
