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: CoRR (2021)
Keyphrases
- incomplete data
- lung cancer
- missing values
- missing data
- risk factors
- multiple imputation
- early detection
- learning bayesian networks
- cancer diagnosis
- incomplete data sets
- survival prediction
- em algorithm
- cancer cells
- risk management
- risk assessment
- lymph nodes
- high dimensional data
- lung cancer patients
- parameter estimation
- pet ct
- missing attribute values
- image processing
- imputation methods
- bayesian networks
- input data
- data points