Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study.
Antonia TsvetanovaMatthew SperrinNiels PeekIain E. BuchanStephanie L. YlandGlen P. MartinPublished in: AMIA (2022)
Keyphrases
- simulation study
- data handling
- prediction model
- monte carlo
- probabilistic model
- missing data
- neural network
- data management
- data mining
- model selection
- prediction accuracy
- regression model
- database
- mr images
- experimental data
- machine learning
- neural network model
- incomplete data
- models built
- traditional chinese medicine