Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations.
Kevin WuDominik DahlemChristopher HaneEran HalperinJames ZouPublished in: CHIL (2023)
Keyphrases
- mathematical model
- modeling method
- linear model
- collecting data
- probabilistic model
- cost function
- prior knowledge
- evaluation method
- optimization method
- similarity measure
- bp neural network
- prediction model
- test data
- theoretical analysis
- objective function
- classification algorithm
- statistical model
- parameter estimation
- energy function
- reconstruction method
- monte carlo simulation
- em algorithm
- sensitivity analysis
- prior information
- pairwise
- input data
- segmentation method
- data sets
- gaussian distribution
- recognition algorithm
- neural network
- data collection
- model selection
- databases
- autoregressive
- linear models
- missing data
- database