Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters.
André Valério CarreiroArtur J. FerreiraMário A. T. FigueiredoSara C. MadeiraPublished in: PACBB (2012)
Keyphrases
- supervised learning
- chronic hepatitis
- financial time series
- prediction accuracy
- clinical data
- reinforcement learning
- chaotic time series
- moving average
- bladder cancer
- survival data
- prediction model
- training set
- unsupervised learning
- dynamic time warping
- box jenkins
- learning algorithm
- semi supervised
- breast cancer
- gene expression data
- autoregressive
- training data
- active learning
- medical databases
- non stationary
- intensive care
- prognostic models
- exponential smoothing
- microarray
- temporal abstractions
- multiple instance learning
- high throughput
- medical data
- data sets