Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?
Zhi ChenSarah TanUrszula ChajewskaCynthia RudinRich CaruanaPublished in: CHIL (2023)
Keyphrases
- missing values
- missing data
- machine learning
- incomplete data
- high dimensional data
- data imputation
- data sets
- database
- data analysis
- missing data imputation
- learning algorithm
- missing information
- data matrix
- data points
- data cleaning
- multiple imputation
- data sources
- image data
- low dimensional
- machine learning algorithms
- neural network