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19 p, 1.5 MB Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model : A development and validation study / Reijnen, Casper (Radboud University Medical Center) ; Gogou, Evangelia (Radboud University) ; Visser, Nicole C. M. (Radboud University Medical Center) ; Engerud, Hilde (Haukeland University Hospital (Bergen, Noruega)) ; Ramjith, Jordache (Radboud University Medical Center) ; van der Putten, Louis J. M. (Radboud University Medical Center) ; van de Vijver, Koen (Universitair Ziekenhuis Gent) ; Santacana, Maria (Hospital Arnau de Vilanova (Lleida, Catalunya)) ; Bronsert, Peter (University Medical Center, Freiburg, Germany) ; Bulten, Johan (Radboud University Medical Center) ; Hirschfeld, Marc (University Medical Center, Freiburg, Germany) ; Colás Ortega, Eva (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i Medicina Preventiva i Salut Pública) ; Gil-Moreno, Antonio 1965- (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Reques, Armando (Hospital Universitari Vall d'Hebron) ; Mancebo, Gemma (Hospital del Mar (Barcelona, Catalunya)) ; Krakstad, Camilla (Haukeland University Hospital (Bergen, Noruega)) ; Trovik, Jone (Haukeland University Hospital (Bergen, Noruega)) ; Haldorsen, Ingfrid S. (University of Bergen) ; Huvila, Jutta (University of Turku) ; Koskas, Martin (Bichat-Claude Bernard Hospital, Paris) ; Weinberger, Vit (University Hospital Brno (República Txeca)) ; Bednarikova, Marketa (University Hospital Brno (República Txeca)) ; Hausnerova, Jitka (University Hospital Brno (República Txeca)) ; van der Wurff, Anneke A. M. (Elisabeth-TweeSteden Hospital, Tilburg) ; Matias-Guiu, Xavier (Hospital Arnau de Vilanova (Lleida, Catalunya)) ; Amant, Frederic (The Netherlands Cancer Institute (Amsterdam, Països Baixos)) ; Massuger, Leon F. A. G. (Radboud University Medical Center) ; Snijders, Marc P. L. M. (Canisius-Wilhelmina Hospital) ; Küsters-Vandevelde, Heidi V. N. (Canisius-Wilhelmina Hospital) ; Lucas, Peter J. F. (University of Twente) ; Pijnenborg, Johanna M. A. (Radboud University Medical Center)
Bayesian networks (BNs) are machine-learning-based computational models that visualize causal relationships and provide insight into the processes underlying disease progression, closely resembling clinical decision-making. [...]
2020 - 10.1371/journal.pmed.1003111
PLoS Medicine, Vol. 17 (may 2020)  
Detailed record - Creative Commons

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1 Lucas, Peter J. F.
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