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

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 decision-making. Preoperative identification of patients at risk for lymph node me...

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Hauptverfasser:	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, Kusters-Vandevelde, Heidi V N, Lucas, Peter J F, Pijnenborg, Johanna M A
Format:	Artikel
Sprache:	eng
Schlagworte:	CARCINOMA L1CAM LYMPH-NODE METASTASIS Medicine and Health Sciences PREDICTION
Online-Zugang:	Volltext
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