AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.
Feng XieYilin NingHan YuanBenjamin Alan GoldsteinMarcus Eng Hock OngNan LiuBibhas ChakrabortyPublished in: CoRR (2021)
Keyphrases
- survival data
- machine learning
- survival analysis
- kaplan meier
- proportional hazards model
- clinical data
- prostate cancer
- neural network
- data mining
- predictive modeling
- regression model
- pattern recognition
- breast cancer
- decision trees
- neural network model
- information extraction
- text mining
- text classification
- feature selection
- data mining methods
- genetic algorithm
- evolutionary computing
- knowledge representation
- multi objective
- data analysis
- raw data
- logistic regression
- distribution free
- knowledge discovery
- knowledge acquisition
- nearest neighbor