Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models.
Mohsen Sadat ShahabiBehrooz NobakhshAhmad ShalbafReza RostamiReza KazemiPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- learning models
- pre trained
- training data
- learning algorithm
- semi supervised learning
- machine learning
- loss function
- classification models
- learning tasks
- transcranial magnetic stimulation
- learning problems
- machine learning algorithms
- conditional random fields
- training examples
- neural network
- image features
- feature selection
- probabilistic model
- multi label
- control signals
- training set
- supervised learning
- learning process
- feature vectors
- computer vision