Interpretable machine learning for high-dimensional trajectories of aging health.
Spencer FarrellArnold MitnitskiKenneth RockwoodAndrew D. RutenbergPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- machine learning
- high dimensional
- machine learning methods
- pattern recognition
- low dimensional
- explanation based learning
- inductive learning
- dimensionality reduction
- computational intelligence
- similarity search
- health care
- sparse data
- active learning
- feature space
- computer science
- decision trees
- high dimensionality
- learning algorithm
- gene expression data
- learning tasks
- machine learning algorithms
- high dimensional data
- natural language processing
- knowledge acquisition
- text mining
- nearest neighbor
- feature selection
- machine learning approaches
- model selection
- configuration space
- age related
- software aging
- parameter space
- data points
- moving objects
- metric space
- kernel function
- variable selection
- data sets
- semi supervised
- high dimensional spaces
- trajectory data
- natural language
- data mining