Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification.
Hongyi YuanSheng YuPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- classification accuracy
- machine learning
- breast cancer diagnosis
- pattern recognition
- classification algorithm
- fault diagnosis
- classification systems
- data sets
- supervised learning
- feature selection
- classification method
- training set
- neural network
- class labels
- classification models
- support vector machine
- support vector
- classification process
- learning algorithm
- automatic classification
- pattern classification
- classification scheme
- support vector machine svm
- decision rules
- machine learning algorithms
- state space
- machine learning methods
- model selection
- feature set
- medical diagnosis
- feature vectors
- feature space
- training data
- image alignment
- cancer diagnosis
- disease diagnosis
- decision trees
- high resolution computed tomography