• 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, Frédéric; Massuger, Leon F.A.G.; Snijders, Marc P.L.M.; Küsters-Vandevelde, Heidi V.N.; Lucas, Peter J. F.; Pijnenborg, Johanna M.A. (Journal article; Peer reviewed, 2020)
      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 ...