Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Riqiang GaoYucheng TangKaiwen XuHo Hin LeeSteve DeppenKim L. SandlerPierre P. MassionThomas A. LaskoYuankai HuoBennett A. LandmanPublished in: MICCAI (5) (2021)
Keyphrases
- incomplete data
- lung cancer
- missing values
- missing data
- risk factors
- multiple imputation
- learning bayesian networks
- early detection
- bayesian networks
- cancer diagnosis
- survival prediction
- em algorithm
- lung cancer patients
- risk assessment
- missing attribute values
- incomplete data sets
- risk management
- lymph nodes
- cancer cells
- data mining
- high dimensional data
- maximum likelihood
- pattern recognition
- imputation methods
- pet ct