Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival.
Mireia VilardellMaria BuxóRamon ClèriesJosé Miguel MartínezGemma GarciaAlberto AmeijideRebeca FontSergi CivitRafael Marcos-GrageraMaria Loreto VilardellMarià CarullaJosep Alfons EspinàsJaume GalceranAngel IzquierdoJosep Maria BorràsPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- synthetic data
- breast cancer
- survival analysis
- missing data imputation
- breast cancer diagnosis
- real image data
- logistic regression
- diagnosis of breast cancer
- breast cancer patients
- regression model
- real world
- data sets
- predictive modeling
- imputation methods
- mammogram images
- mri data
- cancer patients
- data mining
- machine learning
- fully automatic
- missing values
- medical images
- support vector
- training data