Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review.
Sana YasinAlice OthmaniImran RazaSyed Asad HussainPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- machine learning
- patient data
- machine learning methods
- machine learning approaches
- recognition accuracy
- pattern recognition
- statistical methods
- learning algorithm
- clinical practice
- machine learning algorithms
- recognition rate
- active learning
- object recognition
- clinical data
- clinical trials
- medical domain
- bladder cancer
- prediction accuracy
- prediction model
- patient records
- signal processing
- feature selection
- high risk
- computer vision
- decision trees
- recursive neural networks
- intensive care
- recognition algorithm
- feature extraction
- information extraction
- text mining