Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports.
Alexander S. BerdichevskyMor PelegDaniel L. RubinPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- supervised learning
- breast cancer
- learning machines
- empirical data
- computer aided
- machine learning
- machine learning algorithms
- case study
- reinforcement learning
- active learning
- generalization ability
- breast cancer diagnosis
- training data
- training examples
- data sets
- flowshop
- learning tasks
- back propagation
- semi supervised
- generalization error
- computer aided diagnosis
- neural network
- empirical evidence
- automatic detection
- unsupervised learning
- learning process
- classification algorithm
- training samples
- unlabeled data
- rbf network
- supervised classification
- scheduling problem
- sample complexity
- feature space
- anecdotal evidence