A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series.
Yale ChangJonathan RubinGregory BovermanShruti VijAsif RahmanAnnamalai NatarajanSaman ParvanehPublished in: CinC (2019)
Keyphrases
- multi task
- neural architecture
- multi layer perceptron
- feature selection
- multi task learning
- learning tasks
- machine learning
- pattern recognition
- missing data
- decision trees
- classification accuracy
- image classification
- missing values
- sparse learning
- transfer learning
- text classification
- feature vectors
- regression model
- supervised learning
- gaussian processes
- training set
- feature extraction
- naive bayes
- model selection
- classification algorithm
- graph cuts
- multilayer perceptron
- training phase
- bayesian networks
- neural network