Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification.
Ruben D. M. A. PereiraAndré S. FialhoFederico CismondiSusana M. VieiraJoão M. C. SousaRui Jorge AlmeidaUzay KaymakShane R. RetiMichael D. HowellStan N. FinkelsteinPublished in: FUZZ-IEEE (2011)
Keyphrases
- missing data
- fuzzy modeling
- preprocessing
- database
- multiple imputation
- missing values
- pattern recognition
- feature extraction
- incomplete data
- fuzzy model
- automatic relevance determination
- fuzzy clustering
- support vector machine
- database systems
- databases
- data sets
- decision rules
- statistical databases
- x ray
- fuzzy rules
- training set
- decision trees
- fuzzy inference
- neural network
- unsupervised learning
- class labels
- classification rules