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    • Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study 

      Reijnen, Casper; Gogou, Evangelia; Visser, Nicole C. M.; Engerud, Hilde; Ramjith, Jordache; van der Putten, Louis J. M.; van de Vijver, Koen; Santacana, Maria; Bronsert, Peter; Bulten, Johan; Hirschfeld, Marc; Colas, Eva; Gil-Moreno, Antonio; Reques, Armando; Mancebo, Gemma; Krakstad, Camilla; Trovik, Jone; Haldorsen, Ingfrid S.; Huvila, Jutta; Koskas, Martin; Weinberger, Vit; Bednarikova, Marketa; Hausnerova, Jitka; van der Wurff, Anneke A. M.; Matias-Guiu, Xavier; Amant, Frederic; Massuger, Leon F. A. G.; Snijders, Marc P. L. M.; Küsters-Vandevelde, Heidi V. N; Lucas, Peter J. F.; Pijnenborg, Johanna M. A. (Public Library of Science, 2020-05)
      Background 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 ...