Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival-Reference-Cited by-同舟云学术

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

Published:2020-07 Issue: Volume:107 Page:101875
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

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

Funder

Instituto de Salud Carlos III

FEDER funds/European Regional Development Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference46 articles.

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4. Cancer survival in adult patients in Spain. Results from nine population-based cancer registries;Chirlaque;Clin Transl Oncol,2017

5. Long-term crude probabilities of death among breast cancer patients by age and stage: a population-based survival study in Northeastern Spain (Girona–tarragona 1985–2004);Clèries;Clin Transl Oncol,2018

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