Using the machine learning approach to predict patient survival from high-dimensional survival data.
Wenbin ZhangJian TangNuo WangPublished in: BIBM (2016)
Keyphrases
- survival data
- clinical data
- machine learning
- high dimensional
- survival analysis
- proportional hazards model
- variable selection
- kaplan meier
- high dimensional data
- medical data
- knowledge discovery
- low dimensional
- prostate cancer
- dimensionality reduction
- domain experts
- neural network
- data mining
- decision trees
- statistical analysis
- knowledge acquisition
- model selection
- pattern recognition
- dimension reduction
- computational intelligence
- nearest neighbor
- data analysis
- high dimensional datasets
- predictive modeling
- natural language processing
- data mining methods
- cross validation
- expert systems
- feature space
- raw data
- high dimensional spaces
- gene expression data
- breast cancer
- evolutionary computing
- distribution free
- domain specific
- text classification
- image analysis