Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data.
Félix Nieto-del-AmorGema Prats-BoludaJavier Garcia-CasadoAlba Diaz-MartinezVicente Jose Diago-AlmelaRogelio Monfort-OrtizDongmei HaoYiyao Ye-LinPublished in: Sensors (2022)
Keyphrases
- data mining techniques
- feature selection
- feature subset
- noisy data
- data sets
- data collection
- image data
- missing values
- statistical methods
- spectral clustering
- high dimensional data
- data quality
- data sources
- data mining methods
- data analysis
- statistical analysis
- learning models
- knowledge discovery
- significant improvement
- statistical significance
- small samples
- database
- preprocessing
- data mining
- biomedical signals
- original data
- human experts
- cross validation
- missing data
- text categorization
- labeled data
- input data
- mutual information
- xml documents
- association rules
- feature space