Marion Verduijn - researchr alias

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Viewing Publication 1 - 8 from 8

2008

Research Paper: Individual and Joint Expert Judgments as Reference Standards in Artifact DetectionMarion Verduijn, Niels Peek, Nicolette de Keizer, Erik-Jan van Lieshout, Anne-Cornelie J. M. de Pont, Marcus J. Schultz, Evert de Jonge, Bas A. de Mol. jamia, 15(2):227-234, 2008. [doi]

2007

Bayesian Networks for Multivariate Data Analysis and Prognostic Modelling in Cardiac SurgeryNiels Peek, Marion Verduijn, Peter M. J. Rosseel, Evert de Jonge, Bas A. de Mol. medinfo 2007: 596-600 [doi]

ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac SurgeryNiels Peek, Marion Verduijn, Winston G. Tjon Sjoe-Sjoe, Peter M. J. Rosseel, Evert de Jonge, Bas A. de Mol. aime 2007: 336-340 [doi]

Prognostic Bayesian networks: I: Rationale, learning procedure, and clinical useMarion Verduijn, Niels Peek, Peter M. J. Rosseel, Evert de Jonge, Bas A. de Mol. jbi, 40(6):609-618, 2007. [doi]

Prognostic Bayesian networks: II: An application in the domain of cardiac surgeryMarion Verduijn, Peter M. J. Rosseel, Niels Peek, Evert de Jonge, Bas A. de Mol. jbi, 40(6):619-630, 2007. [doi]

Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring dataMarion Verduijn, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas A. de Mol. artmed, 41(1):1-12, 2007. [doi]

2005

Dichotomization of ICU Length of Stay Based on Model CalibrationMarion Verduijn, Niels Peek, Frans Voorbraak, Evert de Jonge, Bas A. de Mol. aime 2005: 67-76 [doi]

Comparison of two temporal abstraction procedures: a case study in prediction from monitoring dataMarion Verduijn, Arianna Dagliati, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas A. de Mol. amia 2005: [doi]

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