Feature selection for unbiased imputation of missing values: A case study in healthcare.
Chetanya PuriGerben KooijmanXi LongPaul HamelmannSima AsvadiBart VanrumsteStijn LucaPublished in: EMBC (2021)
Keyphrases
- missing values
- feature selection
- irrelevant and redundant features
- missing data
- data imputation
- high dimensional data
- text categorization
- incomplete data
- high dimensionality
- incomplete data sets
- information gain
- missing data imputation
- mutual information
- feature set
- dimensionality reduction
- feature space
- multiple imputation
- missing information
- feature subset
- data matrix
- imputation methods
- feature selection algorithms
- feature values
- machine learning
- gene expression data
- data streams
- high dimensional
- informative features
- classification accuracy
- knn
- feature extraction
- support vector machine
- semi supervised
- low dimensional