Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?
Zhi ChenSarah TanUrszula ChajewskaCynthia RudinRich CaruanaPublished in: CoRR (2023)
Keyphrases
- missing values
- missing data
- incomplete data
- machine learning
- data imputation
- data analysis
- data sets
- database
- missing data imputation
- high dimensional data
- data sources
- missing information
- data matrix
- image data
- knowledge discovery
- classification rules
- feature values
- training data
- incomplete data sets
- data mining techniques
- training set
- decision trees