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: J. Biomed. Informatics (2022)
Keyphrases
- survival data
- machine learning
- survival analysis
- kaplan meier
- clinical data
- proportional hazards model
- prostate cancer
- neural network
- regression model
- evolutionary computing
- decision trees
- text classification
- predictive modeling
- knowledge acquisition
- data mining
- distribution free
- knowledge discovery
- data sets
- natural language processing
- text mining
- feature selection
- neural network model
- data mining methods
- pattern recognition
- breast cancer
- logistic regression
- genetic algorithm
- high dimensional data
- information extraction