Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers.
Chad A. MelloRory A. LewisAmy Brooks-KayalJessica CarlsenHeidi GrabenstatterAndrew M. WhitePublished in: Brain Informatics and Health (2014)
Keyphrases
- single layer
- supervised learning
- intensive care unit
- neural nets
- training data
- neural network
- training set
- learning algorithm
- multi layer
- training examples
- support vector
- training samples
- learning tasks
- class labels
- intensive care
- machine learning algorithms
- intraoperative
- image guided
- scalable video coding
- decision trees
- blood pressure
- semi supervised
- feed forward neural networks
- decision support system
- medical data
- semi supervised learning
- feed forward
- high risk
- learning rules
- active learning
- activation function
- unlabeled data
- naive bayes
- hopfield neural network
- labeled data
- decision support
- artificial neural networks
- hidden layer
- classification algorithm
- clinical data
- back propagation
- classification trees
- heart rate
- feature set
- feature space
- knn
- decision making