Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival.

Background: Two common issues may arise in certain population-based breast cancer (BC) survival studies: I) missing values in a survivals' predictive variable, such as "Stage" at diagnosis, and II) small sample size due to "imbalance class problem" in certain subsets of patients, demanding data mode...

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Bibliographic Details

Published in:	Artificial Intelligence in Medicine Vol. 107
Main Authors:	Vilardell, Mireia, Buxó, Maria, Clèries, Ramon, Martínez, José Miguel, Garcia, Gemma, Ameijide, Alberto, Font, Rebeca, Civit, Sergi, Marcos-Gragera, Rafael, Vilardell, Maria Loreto, Carulla, Marià, Espinàs, Josep Alfons, Galceran, Jaume, Izquierdo, Angel, Borràs, Josep Ma
Format:	research tables/charts Journal Article
Published:	Elsevier B.V. Jul2020
Online Access:	View this record in EBSCOhost