Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection.
Sebastian PölsterlSailesh ConjetiNassir NavabAmin KatouzianPublished in: Artif. Intell. Medicine (2016)
Keyphrases
- medical data
- survival analysis
- feature selection
- feature extraction
- high dimensional
- dimensionality reduction
- feature space
- high dimensionality
- data mining
- dimension reduction
- machine learning
- breast cancer
- regression model
- medical images
- clinical data
- data mining methods
- gene expression data
- microarray data
- predictive modeling
- classification accuracy
- text categorization
- medical records
- low dimensional
- text classification
- kaplan meier
- variable selection
- evolutionary computing
- logistic regression
- survival data
- preprocessing
- risk assessment
- data points
- high dimensional data
- real world
- nearest neighbor
- patient data
- text mining
- data mining techniques
- neural network
- fuzzy logic
- principal component analysis
- decision trees
- genetic algorithm
- naive bayes