Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents.
Nazanin EsmailiQuinlan D. BuchlakMassimo PiccardiBernie KrugerFederico GirosiPublished in: Artif. Intell. Medicine (2021)
Keyphrases
- mixture model
- density estimation
- model selection
- traffic accidents
- gaussian mixture model
- unsupervised learning
- em algorithm
- feature vectors
- pattern recognition
- probabilistic model
- language model
- feature extraction
- expectation maximization
- feature space
- support vector
- subspace analysis
- decision trees
- health services
- finite mixture models
- maximum likelihood
- probability density function
- automatic model selection
- supervised learning
- machine learning
- anomaly detection
- class labels
- data mining
- active learning
- high dimensional
- bayesian networks
- feature selection
- mixture modeling
- artificial intelligence